Perform end-to-end data analysis―from exploration to visualization
Real-world examples, tasks, and interview queries to be a proficient data scientist
Understand how SQL is used for big data processing using HiveQL and SparkSQL

Book Description

SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features.

Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples.

By the end of this book, you will be in a position to handle the growing amounts of data and perform everyday activities that a data science professional performs.

What you will learn

Understand what data science is and how SQL Server is used for big data processing
Analyze incoming data with SQL queries and visualizations
Create, train, and evaluate predictive models
Make predictions using trained models and establish regular retraining courses
Incorporate data source querying into SQL Server
Enhance built-in T-SQL capabilities using SQLCLR
Visualize data with Reporting Services, Power View, and Power BI
Transform data with R, Python, and Azure

Who this book is for

Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. This book will be helpful even for beginners who want to build their career as data science professionals using the power of SQL Server 2017. Basic familiarity with SQL language will aid with understanding the concepts covered in this book.

Data Science Overview
SQL Server 2017 as a Data Science Platform
Data Sources for Analytics
Data Transforming and Cleaning with T-SQL
Data Exploration and Statistics with T-SQL
Custom Aggregations on SQL Server
Data Visualization
Data Transformations with Other Tools
Predictive Model Training and Evaluation
Making Predictions
Getting It All Together - A Real-World Example
Next Steps with Data Science and SQL

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Descrizione libreria

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