Containers are a fantastic technology when it comes to allowing more portability of applications or services across operating systems and physical or virtual infrastructure. The idea of containers is to provide an abstraction layer between an application/service and the underlying operating system, similar to the abstraction layer provided by hypervisors between an operating system and the underlying hardware. This new abstraction layer is intended to allow an application and all ancillary files to be packaged together in a lightweight and portable container that can easily be moved from one host to another. An application that is placed into a container is therefore more (or even completely) separated from the infrastructure that it is running on top of. There are no requirements to ensure that the infrastructure is regularly patched or even held on a certain patch...
SQL Server 2017 Developer???s Guide
SQL Server 2017 Developer???s Guide
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)
Preface
Review of SQL Server Features for Developers
SQL Server Tools
Transact-SQL and Database Engine Enhancements
JSON Support in SQL Server
Stretch Database
Temporal Tables
Tightening Security
Query Store
Columnstore Indexes
Introducing SQL Server In-Memory OLTP
In-Memory OLTP Improvements in SQL Server 2017
Supporting R in SQL Server
Data Exploration and Predictive Modeling with R
Introducing Python
Graph Database
Containers and SQL on Linux
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