create a database in sql server 2017 developer edition

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. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. 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. Model complex relationships with the graph databases in SQL Server 2017.Discover the potential of R and Python integration.Control the access to the data on the row levels.Use the new security features to encrypt or mask the data.Exchange JSON data between applications and SQL Server.Use columnstore indexes to get storage and performance improvements.Identify opportunities for In-Memory OLTP technology.Explore the new development features introduced in SQL Server 2017.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. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Use adaptive querying to enhance the performance of your queriesĭatabase developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful.Work with temporal tables to get information stored in a table at any time.Build database applications by using the development features of SQL Server 2017.Build smarter and efficient database application systems for your organization with SQL Server 2017

Create a database in sql server 2017 developer edition