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.

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 ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

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 ...

One day, corporations awoke to the fact that having data was not the same thing as having believable data. They awoke to discover the meaning of “data integrity.” That was the day the enterprise data ...

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.