| Description |
1 online resource (1 volume) : illustrations |
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data file |
| Contents |
SQL Server 2017 developer's guide : a professional guide to designing and developing enterprise database applications -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction to SQL Server 2017 -- Chapter 2: Review of SQL Server Features for Developers -- Chapter 3: SQL Server Tools -- Chapter 4: Transact-SQL and Database Engine Enhancements -- Chapter 5: JSON Support in SQL Server -- Chapter 6: Stretch Database -- Chapter 7: Temporal Tables -- Chapter 8: Tightening Security -- Chapter 9: Query Store -- Chapter 10: Columnstore Indexes -- Chapter 11: Introducing SQL Server In-Memory OLTP -- Chapter 12: In-Memory OLTP Improvements in SQL Server 2017 -- Chapter 13: Supporting R in SQL Server -- Chapter 14: Data Exploration and Predictive Modeling with R -- Chapter 15: Introducing Python -- Chapter 16: Graph Database -- Chapter 17: Containers and SQL on Linux -- Other Books You May Enjoy -- Index. |
| Summary |
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 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. |
| Subject |
SQL server.
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SQL server |
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Client/server computing.
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Database management.
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Architecture client-serveur (Informatique) |
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Bases de données -- Gestion. |
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Client/server computing |
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Database management |
| Added Author |
Miloš Radivojević, author.
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Durkin, William, author.
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| ISBN |
9781788479936 (electronic bk.) |
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1788479939 (electronic bk.) |
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