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SQL Server 2016 Developer's Guide

SQL Server 2016 Developer's Guide

By : Dejan Sarka, Miloš Radivojević, William Durkin
4.5 (8)
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SQL Server 2016 Developer's Guide

SQL Server 2016 Developer's Guide

4.5 (8)
By: Dejan Sarka, Miloš Radivojević, William Durkin

Overview of this book

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. This book introduces you to the new features of SQL Server 2016 that will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016'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 small delights in the Transact-SQL language 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. The last chapters concentrate on implementing advanced topics, including Query Store, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.
Table of Contents (15 chapters)
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12
12. In-Memory OLTP Improvements in SQL Server 2016

Advanced analysis - directed methods

Some of the most important directed techniques include classification, estimation, and forecasting. Classification means to examine a new case and assign it to a predefined discrete class. For example, assigning keywords to articles and assigning customers to known segments. Next is estimation, where you are trying to estimate the value of a continuous variable of a new case. You can, for example, estimate the number of children or the family income. Forecasting is somewhat similar to classification and estimation. The main difference is that you can't check the forecasted value at the time of the forecast. Of course, you can evaluate it if you just wait long enough. Examples include forecasting which customers will leave in the future, which customers will order additional services, and the sales amount in a specific region at a specific time in the future.

After you train the models, you use them to perform predictions. In most of the classification...

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SQL Server 2016 Developer's Guide
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