Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying SQL Server 2017 Developer???s Guide
  • Table Of Contents Toc
SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

By : Dejan Sarka, Miloš Radivojević, William Durkin
3.6 (5)
close
close
SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

3.6 (5)
By: Dejan Sarka, Miloš Radivojević, William Durkin

Overview of this book

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.
Table of Contents (19 chapters)
close
close
Lock Free Chapter
1
Introduction to SQL Server 2017

Summary

In this chapter, we have taken a look at the In-Memory OLTP engine, which was introduced in SQL Server 2014. Along the way, we have investigated how the In-Memory OLTP differs from the traditional SQL Server storage engine with respect to the concurrency model. The main difference is the ability to allow multiple concurrent users to access the data structure without relying on the pessimistic concurrency model of using locking and latching to uphold data isolation within transactions.

We continued our journey by exploring what T-SQL constructs and data types the In-Memory OLTP engine can support in the first version of the feature inside SQL Server 2014. At the same time, we were able to find out that although there are limitations, there is still a wide range of available data types and programming approaches that can be used immediately. Especially exciting is the fact...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
SQL Server 2017 Developer???s Guide
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon