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Mssql-scripter is the multiplatform command-line equivalent of the widely used Generate Scripts Wizard experience in SQL Server Management Studio.
Connect, query, and manage SQL Data Warehouse on Linux, macOS, and Windows by using Visual Studio Code.
PolyBase in Azure SQL Data Warehouse now supports Azure Data Lake Store as a external data source.
External file formats in Azure SQL Data Warehouse now support UTF-16 delimited text files.
Azure SQL Data Warehouse external tables now support 1-MB rows.
Azure SQL Data Warehouse is now generally available in additional regions—Germany Central, Germany Northeast, Korea Central, and Korea South. SQL Data Warehouse is now available in 27 regions worldwide.
You can now use SELECT..INTO in your SQL code when you want to persist the results of a SELECT statement into a table.
You can experience an interactive query experience directly in the Azure portal.
Azure SQL Data Warehouse supports the creation of secondary B-Tree indexes (also called non-clustered indexes or NCI) on column store tables (also called clustered column store indexes or CCI).
Azure SQL Data Warehouse has released a plethora of updates to the Azure portal and SQL Server Management Studio over the last few months.
Azure SQL Data Warehouse is now generally available in additional regions—North Europe, Japan East, Brazil South, and Australia Southeast.
You can use Azure Active Directory authentication to centrally manage user and group identities to authenticate with SQL Database and SQL Data Warehouse.
In Azure DevTest Labs, you can attach additional data disks to your lab VMs, including new and existing data disks in the lab.
Azure SQL Data Warehouse, a relational database management system that offers true cloud elasticity, is generally available.
Azure SQL Data Warehouse is moving from Standard to Premium Storage, offering new performance benefits for the service.
Several features have been added to Azure SQL Data Warehouse in our most recent update.
A summary of improvements in Azure SQL Data Warehouse in February 2016.
Simplify how you create, deploy, and schedule your data movement pipelines by using the click-through copy wizard for Azure Data Factory.
Simplify how you monitor and manage your data pipelines with the new UI for Azure Data Factory.
A summary of improvements in Azure SQL Data Warehouse in January 2016.
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