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.
