Packt publishing limited birmingham (547 risultati)

Paperback. Condizione: Very Good. Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book DescriptionIn todays digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organizations data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your companys operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organizations digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon."What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is forThis book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: Very Good. Write maintainable, fault-tolerant, and cleaner game codes by understanding the standard development patterns and battle-tested practices. Key Features Gain expertise in Industry Standard design patterns. Get your hands on popular patterns such as Observer, Singleton, State, and Factory. Leverage the power of C# coding to create solid architectures for your game projects. Book Description Traditional building blocks of a robust architecture, such as design patterns, cannot be applied in Unity without being adapted to the Engine's unique way of doing things. We will review design patterns that are currently used by professional game programmers in indie, mobile, and AAA studios. We will also examine the infamous anti-patterns. The book begins by explaining Unity Engine's architecture and shows you how to explore it for designing games. This will help readers get familiar with the pillars of Unity's Engine architecture and assist them in making better technical decisions. We will then learn about the game industry's most popular software design patterns. Right from the initial concept up to its implementation, you'll learn every detail in the context of genuine industry use cases that game programmers often deal with in the field. This approach will be a onestop reference point and will give you a complete picture of tried and tested software development patterns with Unity using C#. We will review classic patterns such as Singleton; modern patterns such as Event Bus; and even rare patterns such as the Spatial Partition. The book concludes by covering the dark side of design patterns, by exposing recognizable patterns that tend to creep out in code bases and have unexpected negative side-effects. What you will learn Discover the core architectural pillars of the Unity game engine. Learn about software design patterns while building gameplay systems. Acquire the skills to recognize anti-patterns and how to avoid their adverse effect in your codebase. Enrich your design vocabulary so you can better articulate your ideas on how to better your game's architecture. Gain some mastery over Unity's API by writing well-designed code. Get some game industry insider tips and tricks that will help you in your career. Who this book is for The ideal target audience for this book is game developers who want to get their hands on industry-standard, software development patterns and techniques to create engaging and exciting games with Unity 2018. Basic Unity development knowledge is necessary to make the most out of this book. Prior experience with C# will also be helpful. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. …

Paperback. Condizione: Very Good. Learn to code like a professional with Python an open source, versatile, and powerful programming language About This Book Learn the fundamentals of programming with Python one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python's portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Who This Book Is For Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper In Detail Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approach This book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: Very Good. Get to grips with coding in C# and build simple 3D games with Unity from the ground up with this updated fifth edition of the bestselling guide Key Features Understand C# programming basics, terminology, and coding best practices Put your knowledge of C# concepts into practice by building a fun and playable game Come away with a clear direction for taking your C# programming and Unity game development skills to the next level Book DescriptionOver the years, the Learning C# by Developing Games with Unity series has established itself as a popular choice for getting up to speed with C#, a powerful and versatile programming language that can be applied in a wide array of application areas. This book presents a clear path for learning C# programming from the ground up without complex jargon or unclear programming logic, all while building a simple game with Unity. This fifth edition has been updated to introduce modern C# features with the latest version of the Unity game engine, and a new chapter has been added on intermediate collection types. Starting with the basics of software programming and the C# language, youll learn the core concepts of programming in C#, including variables, classes, and object-oriented programming. Once youve got to grips with C# programming, youll enter the world of Unity game development and discover how you can create C# scripts for simple game mechanics. Throughout the book, youll gain hands-on experience with programming best practices to help you take your Unity and C# skills to the next level. By the end of this book, youll be able to leverage the C# language to build your own real-world Unity game development projects.What you will learn Discover easy-to-follow steps and examples for learning C# programming fundamentals Get to grips with creating and implementing scripts in Unity Create basic game mechanics such as player controllers and shooting projectiles using C# Understand the concepts of interfaces and abstract classes Leverage the power of the latest C# features to solve complex programming problems Become familiar with stacks, queues, exceptions, error handling, and other core C# concepts Explore the basics of artificial intelligence (AI) for games and implement them to control enemy behavior Who this book is forIf youre a developer, programmer, hobbyist, or anyone who wants to get started with C# programming in a fun and engaging manner, this book is for you. Prior experience in programming or Unity is not required. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: Very Good. Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler About This Book Get upand-running with IBM SPSS Modeler without going into too much depth. Identify interesting relationships within your data and build effective data mining and predictive analytics solutions A quick, easyto-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business Who This Book Is For This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book. What You Will Learn Understand the basics of data mining and familiarize yourself with Modeler's visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions In Detail IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler's easy to learn visual programming style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model's performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models. Style and approach This book empowers users to build practical & accurate predictive models quickly and intuitively. With the support of the advanced analytics users can discover hidden patterns and trends.This will help users to understand the factors that influence them, enabling you to take advantage of business opportunities and mitigate risks. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Hard cover. 324 p. Audience: Professional and scholarly. Very good. Light shelfwear, po name on cover.

Paperback. Condizione: Very Good. 0. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Soft cover. Condizione: Near Fine. 1st Edition. Near Fine/, $32.77 9781849694780 MASTERING ADOBE PREMIERE PRO CS6 HOTSHOT. Take your video editing skills to new and exciting levels with eight fantastic projects. EKERT, Paul Packt Publishing Limited Birmingham, United Kingdom 2013 1sT Edition Tall Wide S/c. Glossy Black With A Red Bottom Piece, Spine And Title In Red And White Letters, Soft Cover Book: Near Fine/, Slight Shelf, Edge And Corner Wear. 269 Numbered Pages Printed On White Paper, Fine/ Condition. Slight Shelf, Edge And Corner Wear. Corner Spreading And Cover Is Lifting Up, Due To Exposure To Light. D/j. = No Odors, No Writing, No Names, No Rippling, Not Stuck Together, No Book Plate, Not X~Library, No Remainder Or Other Marks. = This Item Will Be Sent Wrapped In Plastic, Taped Shut And In A = Padded Mailing Envelope = To Prevent Shipping Damage So That It Will Arrive In The Description Described Which Applies To This B00K, Only. Will Make It, An Excellent Addition To Your Own Personal Library Collection, Or As A Gift, For The Discriminating Reader / Collector. = WORLD WIDE SHIPPING, AVAILABLE *. Near Fine/, 2013 (illustratore).…

Paperback. Condizione: Very Good. Design production-ready, testable, and maintainable RESTful web services for the modern web that scale easily Key Features Employ a combination of custom and open source solutions for application program interface (API) development Discover asynchronous API and API security patterns and learn how to deploy your web services to the cloud Apply design patterns and techniques to build reactive and scalable web services Book DescriptionBuilding RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools. Youll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. Youll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. Youll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, youll discover how microservices can benefit from REST. Youll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, youll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API. By the end of the book, youll have intermediate knowledge of web service development and be able to apply the skills youve learned in a practical way.What you will learn Explore the fundamentals of API development and web services Understand the various building blocks of API development in Go Use superior open source solutions for representational state transfer (REST) API development Scale a service using microservices and asynchronous design patterns Deliver containerized artifacts to the Amazon Web Services (AWS) Cloud Get to grips with API security and its implementation Who this book is forThis book is for all the Go developers who are comfortable with the language and seeking to learn REST API development. Even senior engineers can enjoy this book, as it discusses many cutting-edge concepts, such as building microservices, developing API with GraphQL, using protocol buffers, asynchronous API design, and Infrastructure as a Code. Developers who are already familiar with REST concepts and stepping into the Go world from other platforms, such as Python and Ruby, can also benefit a lot. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: new. Paperback. Get productive quickly with Pentaho Data IntegrationKey FeaturesTake away the pain of starting with a complex and powerful systemSimplify your data transformation and integration workExplore, transform, and validate your data with Pentaho Data IntegrationBook DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution.This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers.By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis.What you will learnDesign, preview and run transformations in SpoonRun transformations using the Pan utilityUnderstand how to obtain data from different types of files Connect to a database and explore it using the database explorerUnderstand how to transform data in a variety of waysUnderstand how to insert data into database tablesDesign and run jobs for sequencing tasks and sending emailsCombine the execution of jobs and transformationsWho this book is forThis book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation. Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, first attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution to that problem. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: Very Good. A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis. Key Features Use Microsoft's product Excel to build advanced forecasting models using varied examples Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more Derive data-driven techniques using Excel plugins and APIs without much code required Book DescriptionWe have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. What you will learn Use Excel to preview and cleanse datasets Understand correlations between variables and optimize the input to machine learning models Use and evaluate different machine learning models from Excel Understand the use of different visualizations Learn the basic concepts and calculations to understand how artificial neural networks work Learn how to connect Excel to the Microsoft Azure cloud Get beyond proof of concepts and build fully functional data analysis flows Who this book is forThis book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: Very Good. Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Implement RAGs traceable outputs, linking each response to its source document to build reliable multimodal conversational agents Deliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improvements, and knowledge graphs Balance cost and performance between dynamic retrieval datasets and fine-tuning static data Book DescriptionRAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. Youll discover techniques to optimize your projects performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs. Youll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.What you will learn Scale RAG pipelines to handle large datasets efficiently Employ techniques that minimize hallucinations and ensure accurate responses Implement indexing techniques to improve AI accuracy with traceable and transparent outputs Customize and scale RAG-driven generative AI systems across domains Find out how to use Deep Lake and Pinecone for efficient and fast data retrieval Control and build robust generative AI systems grounded in real-world data Combine text and image data for richer, more informative AI responses Who this book is forThis book is ideal for data scientists, AI engineers, machine learning engineers, and MLOps engineers. If you are a solutions architect, software developer, product manager, or project manager looking to enhance the decision-making process of building RAG applications, then youll find this book useful. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. …

Paperback. Condizione: Very Good. Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features Get a hands-on, fast-paced introduction to the Python data science stack Explore ways to create useful metrics and statistics from large datasets Create detailed analysis reports with real-world data Book DescriptionProcessing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems. The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools. By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.What you will learn Use Python to read and transform data into different formats Generate basic statistics and metrics using data on disk Work with computing tasks distributed over a cluster Convert data from various sources into storage or querying formats Prepare data for statistical analysis, visualization, and machine learning Present data in the form of effective visuals Who this book is forBig Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: Very Good. Simulate real-world attacks using tactics, techniques, and procedures that adversaries use during cloud breaches Key Features Understand the different Azure attack techniques and methodologies used by hackers Find out how you can ensure end-to-end cybersecurity in the Azure ecosystem Discover various tools and techniques to perform successful penetration tests on your Azure infrastructure Book DescriptionIf youre looking for this book, you need it. 5* Amazon Review Curious about how safe Azure really is? Put your knowledge to work with this practical guide to penetration testing. This book offers a no-faff, hands-on approach to exploring Azure penetration testing methodologies, which will get up and running in no time with the help of real-world examples, scripts, and ready-to-use source code. As you learn about the Microsoft Azure platform and understand how hackers can attack resources hosted in the Azure cloud, you'll find out how to protect your environment by identifying vulnerabilities, along with extending your pentesting tools and capabilities. First, youll be taken through the prerequisites for pentesting Azure and shown how to set up a pentesting lab. You'll then simulate attacks on Azure assets such as web applications and virtual machines from anonymous and authenticated perspectives. In the later chapters, you'll learn about the opportunities for privilege escalation in Azure tenants and ways in which an attacker can create persistent access to an environment. By the end of this book, you'll be able to leverage your ethical hacking skills to identify and implement different tools and techniques to perform successful penetration tests on your own Azure infrastructure.What you will learn Identify how administrators misconfigure Azure services, leaving them open to exploitation Understand how to detect cloud infrastructure, service, and application misconfigurations Explore processes and techniques for exploiting common Azure security issues Use on-premises networks to pivot and escalate access within Azure Diagnose gaps and weaknesses in Azure security implementations Understand how attackers can escalate privileges in Azure AD Who this book is forThis book is for new and experienced infosec enthusiasts who want to learn how to simulate real-world Azure attacks using tactics, techniques, and procedures (TTPs) that adversaries use in cloud breaches. Any technology professional working with the Azure platform (including Azure administrators, developers, and DevOps engineers) interested in learning how attackers exploit vulnerabilities in Azure hosted infrastructure, applications, and services will find this book useful. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Paperback. Condizione: new. Paperback. Solve all big data problems by learning how to create efficient data modelsKey FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook DescriptionModeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements.To start with, youll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then youll work with structured and semi-structured data with the help of real-life examples. Once youve got to grips with the basics, youll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. Youll also learn to create graph data models and explore data modeling with streaming data using real-world datasets.By the end of this book, youll be able to design and develop efficient data models for varying data sizes easily and efficiently.What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is forThis book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful. Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Master the art of building Custom GPTs with responsible AI frameworks and built-in security considerations for orchestrating intelligent, scalable conversational AI systemsKey Features: - Learn and implement the core features and architecture of GPT Builder- Use AI red teaming, action-based integration, and agentic design patterns to scale for reliability and performance- Master responsible AI development with expert guidance on bias mitigation, data security, and transparencyBook Description: Conversational AI is no longer a competitive advantage; it is the new baseline for how businesses engage customers and empower teams. Written by Industry leaders and experts, this hands-on practitioner's guide gives you a complete blueprint for building Custom GPTs that are intelligent, responsible, and built to last.This book begins by exploring GPT Builder, including its core features and architecture. As you progress, you'll delve into crafting human-centric AI interactions, applying the 5 Ps of prompt engineering, and developing bots that are tailored to meet specific user needs. Each chapter is packed with practical examples, real-world case studies, and actionable insights that empower you to build AI systems that are not only functional but also engaging and effective.Beyond building, this book emphasizes ethical AI development, providing detailed guidance, mitigating biases, securing data, and maintaining transparency throughout your AI projects. You'll also learn to integrate custom GPTs into existing business processes and scale them effectively, ensuring reliability and performance.Whether you're looking to enhance customer experiences, streamline operations, or build next-generation scalable agents, this book equips you with the knowledge and tools to succeed in the rapidly evolving world of conversational AI.What You Will Learn: - Master the advanced features and architecture of OpenAI GPT Builder- Create user-focused, human-centric interactions built around real-world use cases- Adapt custom GPTs to meet business needs and maximize customer satisfaction- Enhance agents' personality, boundaries, and response quality with structured prompt engineering frameworks- Develop practices and strategies to ensure ethical AI standards and data security- Integrate custom GPTs into existing business systems for seamless workflows- Apply AI Governance and risk management through AI Red teamingWho this book is for: This book is for product managers, business leaders, solution architects, and entrepreneurs who want to build practical, responsible AI assistants using OpenAI GPTBuilder without deep coding expertise. It is equally valuable for AI governance professionals, QA engineers, and anyone tasked with evaluating, testing, or scaling conversational AI within an organisation. Readers should have a basic familiarity with ChatGPT or similar AI tools, a general understanding of how business applications work, and a willingness to learn through hands-on building.Table of Contents- Introducing Conversational AI- Getting Started with GPTBuilder- Understanding GPTBuilder's Core Features and Architecture- Building Safe And Responsible AI Systems- Crafting Human-Centric AI Interactions- Tailoring Conversations to User Needs- Testing and Debugging Conversational Assistants- Implementing Responsible AI Best Practices- Securing Data Handling in GPT Builder- Integrating OpenAI's GPT Builder with Existing Systems- Integrating GPTBuilder with Existing Systems- Monitoring and Maintaining Your AI Systems- Scaling Conv Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Soft cover. Condizione: Very Good. No Jacket. 1st Edition. First Edition / First Print. Paperback copy, no dustjacket as issued. 190pp. Diagrams throughout. Not library copy, no inscriptions, no creasing to spine. (52/1).

Paperback. Condizione: new. Paperback. Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certificationKey FeaturesUnderstand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification examExplore the various Azure services for building end-to-end data solutionsGain a solid understanding of building secure and sustainable data solutions using Azure servicesBook DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you'll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.What you will learnGain intermediate-level knowledge of Azure the data infrastructureDesign and implement data lake solutions with batch and stream pipelinesIdentify the partition strategies available in Azure storage technologiesImplement different table geometries in Azure Synapse AnalyticsUse the transformations available in T-SQL, Spark, and Azure Data FactoryUse Azure Databricks or Synapse Spark to process data using NotebooksDesign security using RBAC, ACL, encryption, data masking, and moreMonitor and optimize data pipelines with debugging tipsWho this book is forThis book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack.The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book. The DP-203: Azure Data Engineer Associate Certification Guide offers complete coverage of the DP-203 certification requirements so that you can take the exam with confidence. Going beyond the requirements for the exam, this book also provides you with additional knowledge to enable you to succeed in your real-life Azure data engineering projects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Conquer complex and interesting programming challenges by building robust and concurrent applications with caches, cryptography, and parallel programming.Key FeaturesUnderstand how to use .NET frameworks like the Task Parallel Library (TPL)and CryptoAPIDevelop a containerized application based on microservices architectureGain insights into memory management techniques in .NET CoreBook DescriptionThis Learning Path shows you how to create high performing applications and solve programming challenges using a wide range of C# features. Youll begin by learning how to identify the bottlenecks in writing programs, highlight common performance pitfalls, and apply strategies to detect and resolve these issues early. You'll also study the importance of micro-services architecture for building fast applications and implementing resiliency and security in .NET Core. Then, you'll study the importance of defining and testing boundaries, abstracting away third-party code, and working with different types of test double, such as spies, mocks, and fakes. In addition to describing programming trade-offs, this Learning Path will also help you build a useful toolkit of techniques, including value caching, statistical analysis, and geometric algorithms. This Learning Path includes content from the following Packt products:C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed KhanPractical Test-Driven Development using C# 7 by John Callaway, Clayton HuntThe Modern C# Challenge by Rod StephensWhat you will learnMeasure application performance using BenchmarkDotNetLeverage the Task Parallel Library (TPL) and Parallel Language Integrated Query (PLINQ)library to perform asynchronous operationsModify a legacy application to make it testableUse LINQ and PLINQ to search directories for files matching patternsFind areas of polygons using geometric operationsRandomize arrays and lists with extension methodsUse cryptographic techniques to encrypt and decrypt strings and filesWho this book is forIf you want to improve the speed of your code and optimize the performance of your applications, or are simply looking for a practical resource on test driven development, this is the ideal Learning Path for you. Some familiarity with C# and .NET will be beneficial. With this Learning Path, you will be able to easily solve complex programming challenges using advanced features of C#. You'll structure and build scalable, optimized, and robust applications in C#7 and .NET, and with the newly-acquired TDD skills, you'll be ready to enter the market not only as a C# pro, but also as a TDD expert. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: Fine. 1. English With the growing need to develop GUIs for multiple targets and multiple screens, improving the visual quality of your application has become pivotal in helping it stand out from your competitors. With its cross-platform ability and the latest UI paradigms, Qt makes it possible to build intuitive, interactive, and user-friendly UIs for your applications. The third edition of Qt 6 C++ GUI Programming Cookbook teaches you how to develop functional and appealing UIs using the latest version of Qt 6 and C++. This book will help you learn a variety of topics such as GUI customization and animation, graphics rendering, and implementing Google Maps. You?ll also be taken through advanced concepts such as asynchronous programming, event handling using signals and slots, network programming, and other aspects to optimize your application. By the end of this Qt book, you?ll have the confidence you need to design and customize GUI applications that meet your clients? expectations and have an understanding of best-practice solutions to common problems during the app development process. WHAT YOU WILL LEARN Animate GUI elements using Qt 6?s built-in animation system Draw vector shapes and bitmap images using Qt 6?s powerful rendering system Implement an industry-standard OpenGL library in your project Build a mobile app that supports touch events and export it into devices Parse and extract data from an XML file and present it on your GUI Interact with web content by calling JavaScript functions from C++ Access MySQL and SQLite databases to retrieve data and display it on your GUI.…

Paperback. Condizione: new. Paperback. Get productive quickly with Pentaho Data IntegrationKey FeaturesTake away the pain of starting with a complex and powerful systemSimplify your data transformation and integration workExplore, transform, and validate your data with Pentaho Data IntegrationBook DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution.This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers.By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis.What you will learnDesign, preview and run transformations in SpoonRun transformations using the Pan utilityUnderstand how to obtain data from different types of files Connect to a database and explore it using the database explorerUnderstand how to transform data in a variety of waysUnderstand how to insert data into database tablesDesign and run jobs for sequencing tasks and sending emailsCombine the execution of jobs and transformationsWho this book is forThis book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation. Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, first attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution to that problem. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. Master the art of building Custom GPTs with responsible AI frameworks and built-in security considerations for orchestrating intelligent, scalable conversational AI systemsKey Features: - Learn and implement the core features and architecture of GPT Builder- Use AI red teaming, action-based integration, and agentic design patterns to scale for reliability and performance- Master responsible AI development with expert guidance on bias mitigation, data security, and transparencyBook Description: Conversational AI is no longer a competitive advantage; it is the new baseline for how businesses engage customers and empower teams. Written by Industry leaders and experts, this hands-on practitioner's guide gives you a complete blueprint for building Custom GPTs that are intelligent, responsible, and built to last.This book begins by exploring GPT Builder, including its core features and architecture. As you progress, you'll delve into crafting human-centric AI interactions, applying the 5 Ps of prompt engineering, and developing bots that are tailored to meet specific user needs. Each chapter is packed with practical examples, real-world case studies, and actionable insights that empower you to build AI systems that are not only functional but also engaging and effective.Beyond building, this book emphasizes ethical AI development, providing detailed guidance, mitigating biases, securing data, and maintaining transparency throughout your AI projects. You'll also learn to integrate custom GPTs into existing business processes and scale them effectively, ensuring reliability and performance.Whether you're looking to enhance customer experiences, streamline operations, or build next-generation scalable agents, this book equips you with the knowledge and tools to succeed in the rapidly evolving world of conversational AI.What You Will Learn: - Master the advanced features and architecture of OpenAI GPT Builder- Create user-focused, human-centric interactions built around real-world use cases- Adapt custom GPTs to meet business needs and maximize customer satisfaction- Enhance agents' personality, boundaries, and response quality with structured prompt engineering frameworks- Develop practices and strategies to ensure ethical AI standards and data security- Integrate custom GPTs into existing business systems for seamless workflows- Apply AI Governance and risk management through AI Red teamingWho this book is for: This book is for product managers, business leaders, solution architects, and entrepreneurs who want to build practical, responsible AI assistants using OpenAI GPTBuilder without deep coding expertise. It is equally valuable for AI governance professionals, QA engineers, and anyone tasked with evaluating, testing, or scaling conversational AI within an organisation. Readers should have a basic familiarity with ChatGPT or similar AI tools, a general understanding of how business applications work, and a willingness to learn through hands-on building.Table of Contents- Introducing Conversational AI- Getting Started with GPTBuilder- Understanding GPTBuilder's Core Features and Architecture- Building Safe And Responsible AI Systems- Crafting Human-Centric AI Interactions- Tailoring Conversations to User Needs- Testing and Debugging Conversational Assistants- Implementing Responsible AI Best Practices- Securing Data Handling in GPT Builder- Integrating OpenAI's GPT Builder with Existing Systems- Integrating GPTBuilder with Existing Systems- Monitoring and Maintaining Your AI Systems- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condizione: new. Paperback. Solve all big data problems by learning how to create efficient data modelsKey FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook DescriptionModeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements.To start with, youll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then youll work with structured and semi-structured data with the help of real-life examples. Once youve got to grips with the basics, youll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. Youll also learn to create graph data models and explore data modeling with streaming data using real-world datasets.By the end of this book, youll be able to design and develop efficient data models for varying data sizes easily and efficiently.What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is forThis book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful. Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. Discover Golang's GUI libraries such as Go-GTK (GIMP Toolkit) and Go-Qt and build beautiful, performant, and responsive graphical applicationsKey FeaturesConceptualize and build state-of-art GUI applications with Golang (Go)Tackle the complexity of varying GUI application sizes with a structured and scalable approachGet hands-on experience of GUI development with Shiny, and labs/ui, Fyne, and WalkBook DescriptionGo is often compared to C++ when it comes to low-level programming and implementations that require faster processing, such as Graphical User Interfaces (GUIs). In fact, many claim that Go is superior to C++ in terms of its concurrency and ease of use. Most graphical application toolkits, though, are still written using C or C++, and so they don't enjoy the benefits of using a modern programming language such as Go. This guide to programming GUIs with Go 1.11 explores the various toolkits available, including UI, Walk, Shiny, and Fyne. The book compares the vision behind each project to help you pick the right approach for your project. Each framework is described in detail, outlining how you can build performant applications that users will love. To aid you further in creating applications using these emerging technologies, you'll be able to easily refer to code samples and screenshots featured in the book. In addition to toolkit-specific discussions, you'll cover more complex topics, such as how to structure growing graphical applications, and how cross-platform applications can integrate with each desktop operating system to create a seamless user experience. By delving into techniques and best practices for organizing and scaling Go-based graphical applications, you'll also glimpse Go's impressive concurrency system. In the concluding chapters, you'll discover how to distribute to the main desktop marketplaces and distribution channels. By the end of this book, you'll be a confident GUI developer who can use the Go language to boost the performance of your applications.What you will learnUnderstand the benefits and complexities of building native graphical applications Gain insights into how Go makes cross-platform graphical application development simple Build platform-native GUI applications using andlabs/ui Develop graphical Windows applications using Walk Create multiplatform GUI applications using Shiny, Nuklear, and Fyne Use Go wrappers for GTK and Qt for GUI application development Streamline your requirements to pick the correct toolkit strategyWho this book is forThis book is designed for Go developers who are interested in building native graphical applications for desktop computers and beyond. Some knowledge of building applications using Go is useful, but not essential. Experience in developing GUIs is not required as the book explores the benefits and challenges they pose. This book will also be beneficial for GUI application developers who are interested in trying Go. Hands-On GUI Application Development in Go will help you to extend your knowledge of Golang and become a confident graphical application developer with Go. The book explores many graphical libraries available for Go to show how GUIs can be created for applications. This book is a guide to the most popular Go GUI Frameworks and techniques Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. Master the art of building Custom GPTs with responsible AI frameworks and built-in security considerations for orchestrating intelligent, scalable conversational AI systemsKey Features: - Learn and implement the core features and architecture of GPT Builder- Use AI red teaming, action-based integration, and agentic design patterns to scale for reliability and performance- Master responsible AI development with expert guidance on bias mitigation, data security, and transparencyBook Description: Conversational AI is no longer a competitive advantage; it is the new baseline for how businesses engage customers and empower teams. Written by Industry leaders and experts, this hands-on practitioner's guide gives you a complete blueprint for building Custom GPTs that are intelligent, responsible, and built to last.This book begins by exploring GPT Builder, including its core features and architecture. As you progress, you'll delve into crafting human-centric AI interactions, applying the 5 Ps of prompt engineering, and developing bots that are tailored to meet specific user needs. Each chapter is packed with practical examples, real-world case studies, and actionable insights that empower you to build AI systems that are not only functional but also engaging and effective.Beyond building, this book emphasizes ethical AI development, providing detailed guidance, mitigating biases, securing data, and maintaining transparency throughout your AI projects. You'll also learn to integrate custom GPTs into existing business processes and scale them effectively, ensuring reliability and performance.Whether you're looking to enhance customer experiences, streamline operations, or build next-generation scalable agents, this book equips you with the knowledge and tools to succeed in the rapidly evolving world of conversational AI.What You Will Learn: - Master the advanced features and architecture of OpenAI GPT Builder- Create user-focused, human-centric interactions built around real-world use cases- Adapt custom GPTs to meet business needs and maximize customer satisfaction- Enhance agents' personality, boundaries, and response quality with structured prompt engineering frameworks- Develop practices and strategies to ensure ethical AI standards and data security- Integrate custom GPTs into existing business systems for seamless workflows- Apply AI Governance and risk management through AI Red teamingWho this book is for: This book is for product managers, business leaders, solution architects, and entrepreneurs who want to build practical, responsible AI assistants using OpenAI GPTBuilder without deep coding expertise. It is equally valuable for AI governance professionals, QA engineers, and anyone tasked with evaluating, testing, or scaling conversational AI within an organisation. Readers should have a basic familiarity with ChatGPT or similar AI tools, a general understanding of how business applications work, and a willingness to learn through hands-on building.Table of Contents- Introducing Conversational AI- Getting Started with GPTBuilder- Understanding GPTBuilder's Core Features and Architecture- Building Safe And Responsible AI Systems- Crafting Human-Centric AI Interactions- Tailoring Conversations to User Needs- Testing and Debugging Conversational Assistants- Implementing Responsible AI Best Practices- Securing Data Handling in GPT Builder- Integrating OpenAI's GPT Builder with Existing Systems- Integrating GPTBuilder with Existing Systems- Monitoring and Maintaining Your AI Systems- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Paperback. Condizione: new. Paperback. Conquer complex and interesting programming challenges by building robust and concurrent applications with caches, cryptography, and parallel programming.Key FeaturesUnderstand how to use .NET frameworks like the Task Parallel Library (TPL)and CryptoAPIDevelop a containerized application based on microservices architectureGain insights into memory management techniques in .NET CoreBook DescriptionThis Learning Path shows you how to create high performing applications and solve programming challenges using a wide range of C# features. Youll begin by learning how to identify the bottlenecks in writing programs, highlight common performance pitfalls, and apply strategies to detect and resolve these issues early. You'll also study the importance of micro-services architecture for building fast applications and implementing resiliency and security in .NET Core. Then, you'll study the importance of defining and testing boundaries, abstracting away third-party code, and working with different types of test double, such as spies, mocks, and fakes. In addition to describing programming trade-offs, this Learning Path will also help you build a useful toolkit of techniques, including value caching, statistical analysis, and geometric algorithms. This Learning Path includes content from the following Packt products:C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed KhanPractical Test-Driven Development using C# 7 by John Callaway, Clayton HuntThe Modern C# Challenge by Rod StephensWhat you will learnMeasure application performance using BenchmarkDotNetLeverage the Task Parallel Library (TPL) and Parallel Language Integrated Query (PLINQ)library to perform asynchronous operationsModify a legacy application to make it testableUse LINQ and PLINQ to search directories for files matching patternsFind areas of polygons using geometric operationsRandomize arrays and lists with extension methodsUse cryptographic techniques to encrypt and decrypt strings and filesWho this book is forIf you want to improve the speed of your code and optimize the performance of your applications, or are simply looking for a practical resource on test driven development, this is the ideal Learning Path for you. Some familiarity with C# and .NET will be beneficial. With this Learning Path, you will be able to easily solve complex programming challenges using advanced features of C#. You'll structure and build scalable, optimized, and robust applications in C#7 and .NET, and with the newly-acquired TDD skills, you'll be ready to enter the market not only as a C# pro, but also as a TDD expert. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

19x23. Condizione: Wie neu. 245 S. lei12477 Sprache: Englisch Gewicht in Gramm: 525.

Paperback. Condizione: new. Paperback. Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certificationKey FeaturesUnderstand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification examExplore the various Azure services for building end-to-end data solutionsGain a solid understanding of building secure and sustainable data solutions using Azure servicesBook DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you'll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.What you will learnGain intermediate-level knowledge of Azure the data infrastructureDesign and implement data lake solutions with batch and stream pipelinesIdentify the partition strategies available in Azure storage technologiesImplement different table geometries in Azure Synapse AnalyticsUse the transformations available in T-SQL, Spark, and Azure Data FactoryUse Azure Databricks or Synapse Spark to process data using NotebooksDesign security using RBAC, ACL, encryption, data masking, and moreMonitor and optimize data pipelines with debugging tipsWho this book is forThis book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack.The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book. The DP-203: Azure Data Engineer Associate Certification Guide offers complete coverage of the DP-203 certification requirements so that you can take the exam with confidence. Going beyond the requirements for the exam, this book also provides you with additional knowledge to enable you to succeed in your real-life Azure data engineering projects. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. Build smarter daily workflows with ChatGPT, Claude, and Perplexity to boost productivityKey FeaturesLearn practical AI workflows for communication, research, reporting, coordination, and data analysisMaster ready-to-use prompts, templates, and AI workflow patterns with tools like ChatGPT, Claude, and PerplexityBuild reliable daily AI productivity routines that speed up repetitive workBook DescriptionMost professionals spend their days juggling a constant flow of information, communication, and coordination. Individually, these tasks seem small. Together, they consume hours every week. AI for Everyday Automation shows you how to use AI to turn these recurring responsibilities into practical, repeatable workflows.Using tools like ChatGPT, Claude, and Perplexity, this book walks you through seven practical workflows for automating emails, meetings, research, reports, task tracking, spreadsheets, content creation, and professional communication. Each workflow includes prompts, templates, and step-by-step guidance that you can immediately apply to your own work.By the end of the book, youll have a set of repeatable AI-assisted systems that help you save time, reduce repetitive work, and get through your workday with far less friction.What you will learnAutomate email triage and response drafting using AI-assisted workflowsGenerate meeting summaries, action items, and follow-ups in minutesConduct research and create structured briefs faster with AI toolsBuild reports, proposals, and business documents using reusable prompt chainsExtract tasks and status updates automatically from conversations and meeting notesAnalyze spreadsheets and messy data without advanced Excel skillsCreate professional content and communications faster while maintaining your personal voiceWho this book is forThis book is for professionals who spend a large part of their day handling emails, meetings, reports, research, spreadsheets, and coordination work. Its designed for readers who have experimented with AI tools but want practical ways to turn them into reliable everyday productivity systems. No technical background is required. The book focuses on simple, repeatable workflows that can be applied immediately in a real work environment. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Learn to design, test, and optimize Claude Code Skills that automate real business workflows. Connect Claude to external tools, build reusable AI assistants, and scale productivity without writing code.Key FeaturesDesign reusable Claude Skills that automate real business workflowsConnect Claude with business tools to build intelligent AI assistantsTest, optimize, and scale Skills for individuals and teamsBook DescriptionTurn repeatable ways of working into Claude Skills that preserve your processes, examples, formatting rules, and quality standards. This book shows you how to move beyond one-off prompts and create reusable workflows that produce more consistent, professional results.Starting with the Claude ecosystem, youll learn when to use Skills, Projects, Cowork, connectors, and subagents. Youll explore five ways to create Skills, refine them for repeated use, schedule recurring workflows, and connect Claude to Gmail, Google Calendar, HubSpot, and other business services.Youll also learn how to keep SKILL.md focused, organize supporting references, add human-in-the-loop checkpoints, run evals, compare versions through A/B testing, and verify that a Skill activates at the right time. Practical examples cover sales follow-ups, meeting preparation, invoicing, reporting, research, presentations, and content workflows.By the end of the book, youll be able to build and share a library of Claude Skills, combine them with connectors and subagents, and reduce repetitive work while keeping your judgment, creativity, and approval central to the process.What you will learnUnderstand the Claude ecosystem and when to use SkillsBuild reusable Claude Skills for business workflowsConnect Claude to external business tools and servicesDesign reliable multi-step AI workflowsTest, evaluate, and improve Skill performanceOptimize Skills for quality, consistency, and efficiencyShare and manage Skills across teamsAutomate everyday work without writing codeWho this book is forThis book is for AI practitioners, automation specialists, solution consultants, technical product managers, low-code builders, and technically inclined professionals who want to design reusable AI workflows with Claude. It is equally valuable for founders, marketers, consultants, operations specialists, analysts, and other knowledge workers looking to automate repetitive tasks and improve productivity. No programming experience is required, although a basic familiarity with AI tools and business workflows will help readers get the most from the book. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…