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.
Who this book is for
by William Durkin, Milos Radivojevic, Dejan Sarka
SQL Server 2017 Developer's Guide
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to SQL Server 2017
- Review of SQL Server Features for Developers
- SQL Server Tools
- Transact-SQL and Database Engine Enhancements
- New and enhanced functions and expressions
- Enhanced DML and DDL statements
- New query hints
- Adaptive query processing in SQL Server 2017
- Summary
- JSON Support in SQL Server
- Stretch Database
- Stretch DB architecture
- Limitations of using Stretch Database
- Use cases for Stretch Database
- Enabling Stretch Database
- Querying stretch databases
- SQL Server Stretch Database pricing
- Stretch DB management and troubleshooting
- Summary
- Temporal Tables
- What is temporal data?
- System-versioned temporal tables in SQL Server 2017
- How temporal tables work in SQL Server 2017
- Creating temporal tables
- Altering temporal tables
- Dropping temporal tables
- Data manipulation in temporal tables
- Querying temporal data in SQL Server 2017
- Performance and storage considerations with temporal tables
- Temporal tables with memory-optimized tables
- What is missing in SQL Server 2017?
- Summary
- Tightening Security
- Query Store
- Why Query Store?
- What is Query Store?
- Query Store architecture
- Enabling and configuring Query Store
- Disabling and cleaning Query Store
- Query Store in action
- Query Store reports in SQL Server Management Studio
- Automatic tuning in SQL Server 2017
- Capturing waits by Query Store in SQL Server 2017
- Query Store use cases
- Summary
- 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
- Other Books You May Enjoy
Who this book is for
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