In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

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

Microsoft's drive to put Azure SQL Data Warehouse on more equal footing with SQL Server is finally paying off.

Fresh from last week's Build developer conference in San Francisco, Microsoft executives appeared at the company's first-ever Ignite conference in Chicago and provided more details about the company's ...

Azure SQL Data Warehouse was built on a similar elastic massively parallel processing (MPP) architecture that is found in its SQL Server 2016 database to provide column stores for storage ...

There once was no alternative to building a data warehouse on-premise, but with cloud providers targeting analytics, building data warehouses on-site is looking obsolete.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Architecture Data Vault 2.0 Architecture is based on three-tier data warehouse architecture. The tiers are commonly identified as staging or landing zone, data warehouse, and information delivery ...

SAN FRANCISCO, Nov. 12, 2020 /CNW/ -- Databricks, the data and AI company, today announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously ...

With modern data hub you can deploy a solution in a matter of days or weeks, Carr said. Traditional approaches incur several problems including cost, planning, and capturing data at the right times.