SQL Server 2017 Developer's Guide (SQL Server 2017 開發者指南)

Build smarter and efficient database application systems for your organization with SQLServer 2017 About This Book * Build efficient database applications by utilizing the efficient development features of SQL Server 2017 * Work with temporal tables to get information stored in a table at any time and use adaptive querying to enhance the performance of your queries * A detailed guide for developers looking to master SQL Server 2017's new features and enhancements Who This Book Is For Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. Some basic understanding of database concepts and T-SQL is required to get the best out of this book. What You Will Learn * Explore the new development features introduced in SQL Server 2017 * Identify opportunities for In-Memory OLTP technology, significantly enhanced in SQL Server 2017 * Use columnstore indexes to get significant storage and performance improvements * Extend database design solutions using temporal tables * Exchange JSON data between applications and SQL Server in a more efficient way * Migrate historical data transparently and securely to Microsoft Azure by using Stretch database * Use the new security features to encrypt (or to have more granular control over) access to rows in a table * Simplify performance troubleshooting with Query Store * Discover the potential of R and Python integration with SQL Server * Model data and complex relationships with the help of graph databases in SQL Server 2017 * Experience the speed and automation offered by SQL Server containers and SQL on Linux for Dev and QA In Detail Microsoft 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 statistic 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 small delights in the form of 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. 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 packages 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.