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)

Summary

Data science is a very broad term that includes numerous tasks in regard to data management and processing. In this chapter, we have covered how these individual domains can be addressed with SQL Server and how SQL Server can be used as a data science platform in the enterprise. Although SQL Server is not primarily considered to be a data science tool, there are numerous data science tasks, where in SQL Server offers very mature services such as the importing and cleaning of data, integration with big-data systems, and rich visualizations, either with reporting services or with PowerBI Report Server.

In the next chapter, we'll go deeper into the SQL Server service overview and how all the services relate to individual data science domains and tasks and how you can fully utilize SQL Server in this new field.