Windows Server 2012 R2 Administrator Cookbook: Over 80 hands-on recipes to effectively administer and manage your Windows Server 2012 R2 infrastructur (Paperback or Softback)

Build smarter and efficient database application systems for your organization with SQL Server 2017

Key Features

• Build database applications by using the development features of SQL Server 2017
• Work with temporal tables to get information stored in a table at any time
• Use adaptive querying to enhance the performance of your queries

Book Description

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux.

This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing.

By the end of this book, you will be armed to design efficient, high-performance database

applications without any hassle.

What you will learn

• Explore the new development features introduced in SQL Server 2017
• Identify opportunities for In-Memory OLTP technology
• Use columnstore indexes to get storage and performance improvements
• Exchange JSON data between applications and SQL Server
• Use the new security features to encrypt or mask the data
• Control the access to the data on the row levels
• Discover the potential of R and Python integration
• Model complex relationships with the graph databases in SQL Server 2017

Who this book is for

Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well.

Some basic understanding of database concepts and T-SQL is required to get the best out of this book.