In Azure SQL Data Warehouse, fact tables are distributed across nodes using a hash column, while smaller dimensions are replicated to all nodes and larger dimensions use the same hash distribution.

Microsoft's latest cloud data warehouse release retains its decoupled compute-storage advantage, while crafting parity with Amazon Redshift's local storage performance.

Because data warehousing only requires processing power intermittently, SQL Data Warehouse decouples processing costs from storage costs. That can save a lot of money, Microsoft noted.

Microsoft’s elastic cloud data warehousing offering, Azure SQL Data Warehouse, is finally generally available, the software giant announced on July 14. The solution was first announced during ...

A new Azure SQL Data Warehouse preview offered as a counter to Amazon's Redshift headed several data-related announcements at the opening of the Microsoft Build conference today. Also being announced ...

Snowflake essentially argues that data warehouse should be as flexible and easy to use as the best of the self-service technology that allows analysts to get their hands on both massive SQL data ...

With SQL Data Warehouse, enterprises can ensure that they only pay for the usage they need and when they need it, Microsoft’s corporate VP for its data platform T.K. “Ranga” Rengarajan told ...

Microsoft Azure SQL Data Warehouse is a cloud-based data warehouse that uses the Microsoft SQL engine and MPP (massively parallel processing) to quickly run complex queries across petabytes of data.

After considering the options, the bank apparently asked Kognitio if it could provide a solution to this SQL query throughput problem. Kognitio took the challenge, and adapted its platform to run ...

Azure SQL Data Warehouse entered a limited preview in late June of 2015 and opened up to a wider audience in October 2015, with thousands of customers already on board before today's general ...