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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.
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.
Azure SQL Data Warehouse service is now available across all 33 Microsoft Azure regions. The expansion happened this week with the "general availability" rollout of Azure SQL Data Warehouse ...
By default, Azure Monitor retains data warehouse metrics for 90 days. Azure SQL Data Warehouse also features tighter integration with Azure Analysis Services, a cloud-based analytics engine.
Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...
Microsoft has enhanced Azure SQL Data Warehouse to provide what the company is claiming is at least double the query performance. Jason Zander, executive vice president of Microsoft Azure, credits ...
Billed as a database-as-a-service offering, Azure SQL Data Warehouse is Microsoft's enterprise-focused storage solution that scales both computing power and storage space based on need. According to ...
The data streaming specialist (NASDAQ: TLND) said Thursday (Aug. 16) its connector would facilitate the movement of massive data sets to the public data warehouse without the need for shifting source ...
On the compute side, new, larger virtual machine types will allow each node to be powered at up to 18,000 DWUs (data warehouse units -- Microsoft's measurement of DW compute capacity), a tripling ...
That includes products like SQL Server, the open source programming interface Apache Spark, Azure Data Factory and Azure Data Studio, as well as notebook interfaces preferred by many data ...
Microsoft’s Azure SQL Data Warehouse, the company’s cloud-based database service for big data workloads, is getting yet another speed bump today. A few months ago, the company sped up the ...
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