Book Image

Hands-On Data Science with SQL Server 2017

By : Marek Chmel, Vladimír Mužný
Book Image

Hands-On Data Science with SQL Server 2017

By: Marek Chmel, Vladimír Mužný

Overview of this book

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.
Table of Contents (14 chapters)

Preparing SQL Server

Microsoft SQL Server is very powerful engine for carrying out data science tasks. The server contains ML services that can be used for advanced R or Python analysis. Every feature offered within SQL Server, such as .NET integration or mail-sending, needs to be enabled in order for developers to be able to use them later. Machine learning also has to be enabled and configured correctly. This section shows which options to configure on the SQL Server, how to configure them, and also how to check whether the configuration is correct.

Setting up and configuring ML services

SQL Server's ML Services is based on a feature called satellite queries. The purpose of ML Services is to allow us to use languages...