SQL Server 2017 Developer's Guide
About the e-Book
SQL Server 2017 Developer's Guide Pdf
Build smarter and efficient database application systems for your organization with SQL Server 2017
Microsoft SQL Server 2017 is the next big step in the data platform history of Microsoft as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. This book prepares you for more advanced topics by starting with a quick introduction to SQL Server 2017'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 enhancements in the Transact-SQL language and new database engine capabilities 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.
Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Towards 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 in SQL Server and graph database implementations along with deployment options on Linux and SQL Server in containers for development and testing.
By the end of this book, you will have the required information 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
- Extend database design solutions using temporal tables
- Exchange JSON data between applications and SQL Server
- Migrate historical data to Microsoft Azure by using Stretch database
- Use the new security features to encrypt or mask the data
- Control the access to the data on the row levels
- Simplify performance troubleshooting with Query Store
- Discover the potential of R and Python integration
- Model complex relationships with the graph databases in SQL Server 2017
Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. Besides projects, he spends about half his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. He is the main author or co author of many books about databases and SQL Server. The last three books before this one were published by Packt, and their titles were SQL Server 2016 Developer's Guide, SQL Server 2017 Integration Services Cookbook, and SQL Server 2016 Developer's Guide. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.
Miloš Radivojevic is a database consultant in Vienna, Austria. He is a Data Platform MVP and specializes in SQL Server for application developers and performance/ query tuning. Currently, he works as a principal database consultant in bwin (GVC Holdings)—the largest regulated online gaming company in the world. Miloš is a cofounder of PASS Austria. He is also a speaker at international conferences and speaks regularly at SQL Saturday events and PASS Austria meetings.
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