Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 382 | Sprache: Englisch | Produktart: Bücher.
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Da: California Books, Miami, FL, U.S.A.
EUR 48,82
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
EUR 55,15
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Editore: Packt Publishing 2/28/2024, 2024
ISBN 10: 1803246596 ISBN 13: 9781803246598
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 53,67
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Azure Data Factory Cookbook - Second Edition: A data engineer's guide to building and managing ETL and ELT pipelines with data integration 1.99. Book.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,48
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premise. You ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with using ADF as t.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,34
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 51,91
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 55,29
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Da: Books Puddle, New York, NY, U.S.A.
EUR 91,50
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Editore: Packt Publishing Limited, Birmingham, 2024
ISBN 10: 1803246596 ISBN 13: 9781803246598
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 62,97
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration toolKey FeaturesSolve real-world data problems and create data-driven workflows with ease using Azure Data FactoryBuild an ADF pipeline that operates on pre-built ML model and Azure AIGet up and running with Fabric Data Explorer and extend ADF with Logic Apps and Azure functionsBook DescriptionThis new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each.Youll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, youll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. Youll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, youll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.What you will learnBuild and Manage data pipelines with ease using the latest version of ADFConfigure, load data, and operate data flows with Azure SynapseGet up and running with Fabric Data FactoryWorking with Azure Data Factory and Azure PurviewCreate big data pipelines using Databricks and Delta tablesIntegrate ADF with commonly used Azure services such as Azure ML, Azure Logic Apps, and Azure FunctionsLearn industry-grade best practices for using Azure Data FactoryWho this book is forThis book is for ETL developers, data warehouse and ETL architects, software professionals, and anyone else who wants to learn about the common and not-so-common challenges faced while developing traditional and hybrid ETL solutions using Microsoft's Azure Data Factory. Youll also find this book useful if you are looking for recipes to improve or enhance your existing ETL pipelines. Basic knowledge of data warehousing is a prerequisite. With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 43,54
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Da: Half Price Books Inc., Dallas, TX, U.S.A.
EUR 18,54
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Aggiungi al carrellopaperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 59,99
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 65,85
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Majestic Books, Hounslow, Regno Unito
EUR 58,70
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 382.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 64,39
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 76,91
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey Features:Learn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data Factory's visual environment to build and manage hybrid ETL pipelinesDiscover how to prepare, transform, process, and enrich data to generate key insightsBook Description:This new edition of the Azure Data Factory Cookbook, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF.You'll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discovering the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage.With practical recipes, you'll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. As you advance, you'll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out how to use the Azure portal to monitor pipelines. You'll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.Two new chapters covering Azure Data Explorer and key best practices have been added, along with new recipes throughout.By the end of this book, you'll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.What You Will Learn:Create an orchestration and transformation job in ADFDevelop, execute, and monitor data flows using Azure SynapseCreate big data pipelines using Databricks and Delta tablesWork with big data in Azure Data Lake using Spark PoolMigrate on-premises SSIS jobs to ADFIntegrate ADF with commonly used Azure services such as Azure ML, Azure Logic Apps, and Azure FunctionsRun big data compute jobs within HDInsight and Azure DatabricksCopy data from AWS S3 and Google Cloud Storage to Azure Storage using ADF's built-in connectorsWho this book is for:This book is for ETL developers, data warehouse and ETL architects, software professionals, and anyone else who wants to learn about the common and not-so-common challenges faced while developing traditional and hybrid ETL solutions using Microsoft's Azure Data Factory. You'll also find this book useful if you are looking for recipes to improve or enhance your existing ETL pipelines. Basic knowledge of data warehousing is a prerequisite.
Da: Majestic Books, Hounslow, Regno Unito
EUR 92,40
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 96,89
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