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Applying SQL Server 2016 Features to Real-world Data Problems

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Applying SQL Server 2016 Features to Real-world Data Problems
Applying SQL Server 2016 Features to Real-world Data Problems
July 2016 | MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 37M | 394 MB
Genre: eLearning | Language: English

Explore the newest features and performance improvements of SQL Server 2016, quickly after its release on the market. This course will teach you about some amazing new functionality that will help enhance the performance of your solution.

Along with the release of SQL Server 2016 comes some amazing new functionality that will help enhance the performance of your solution, improve security, integrate and analyze data from all types of sources, and scale your solution to the cloud. In this course, Applying SQL Server 2016 Features to Real-world Data Problems, you'll be able to apply these functionalities to any real-world data problem you may have. First, you'll learn about improving the performance database solution by using in-memory OLTP enhancements, query data store, temporal database, and JSON support. Next, you'll learn how to enhance security at a database level using AlwaysEncrypted, dynamic data masking, and row level security. Finally you'll learn how to head towards the cloud and how HappyScoopers can easily adapt their existent solution to use the powers of the cloud. By the end of this course, you'll have a strong foundational understanding on how to apply the amazing new features of SQL Server 2016 to solve your own real world problems.

Applying SQL Server 2016 Features to Real-world Data Problems

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