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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.
Clustered Columnstore Tables are the most efficient way you can store your data in Azure SQL Data Warehouse, and they are the new default.
A summary of improvements in the month of November 2015 in Azure SQL Data Warehouse.
A summary of the features released in Azure SQL Data Warehouse in October 2015.
The full public preview of the Azure SQL Data Warehouse service is now available.
Azure SQL Data Warehouse is a fully managed, elastic, and petabyte-scale columnar data-warehouse service that’s fully compatible and integrated with the Microsoft SQL Server ecosystem.