Book Image

SQL Server 2016 Developer's Guide

By : Miloš Radivojević, Dejan Sarka, William Durkin
Book Image

SQL Server 2016 Developer's Guide

By: Miloš Radivojević, Dejan Sarka, William Durkin

Overview of this book

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. This book introduces you to the new features of SQL Server 2016 that will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016's new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. The last chapters concentrate on implementing advanced topics, including Query Store, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.
Table of Contents (21 chapters)
SQL Server 2016 Developer's Guide
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
12
In-Memory OLTP Improvements in SQL Server 2016

Analytical queries in SQL Server


Supporting analytical applications in SQL Server differs quite a lot from supporting transactional applications. The typical schema for reporting queries is the star schema. In a star schema, there is one central table called fact table and multiple surrounding tables called dimensions. The fact table is always on the many side of every relationship with every dimension. The database that supports analytical queries and uses the star schema design is called Data Warehouse (DW). Dealing with data warehousing design in detail is out of the scope of this book. Nevertheless, there is a lot of literature available. For a quick start, you can read the data warehouse concepts MSDN blog at https://blogs.msdn.microsoft.com/syedab/2010/06/01/data-warehouse-concepts/. The WideWorldImportersDW demo database implements multiple star schemas. The following screenshot shows a subset of tables from this database that supports analytical queries for sales:

Figure 10-1: Sales...