SQL Server 2017 Developer's Guide

Build smarter and efficient database application systems for your organization with SQL Server 2017About This BookBuild database applications by using the development features of SQL Server 2017Work with temporal tables to get information stored in a table at any timeUse adaptive querying to enhance the performance of your queriesWho This Book Is ForDatabase developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well.Some basic understanding of database concepts and T-SQL is required to get the best out of this book.What You Will LearnExplore the new development features introduced in SQL Server 2017Identify opportunities for In-Memory OLTP technologyUse columnstore indexes to get storage and performance improvementsExchange JSON data between applications and SQL ServerUse the new security features to encrypt or mask the dataControl the access to the data on the row levelsDiscover the potential of R and Python integrationModel complex relationships with the graph databases in SQL Server 2017In DetailMicrosoft 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.Style and approachThis book is a detailed guide to mastering the development features offered by SQL Server 2017, with a unique learn-as-you-do approach. All the concepts are explained in a very easy-to-understand manner and are supplemented with examples to ensure that you-the developer-are able to take that next step in building more powerful, robust applications for your organization with ease.