Microsoft has announced the general availability of Azure SQL Data Warehouse, a data-analysis service that many companies are likely to find important. Azure is the last of the three major cloud ...

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 service with ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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 ...

Microsoft today announced that its elastic cloud computing platform Azure SQL Data Warehouse is now generally available. Billed as a database-as-a-service offering, Azure SQL Data Warehouse is ...

Download your copy of the Cloud Data Warehousing With Microsoft Azure workbook to discover: The common use cases of Azure SQL Data Warehouse. How to create an automated data management strategy to ...

Microsoft's drive to put Azure SQL Data Warehouse on more equal footing with SQL Server is finally paying off. Azure SQL Data Warehouse gets less press than its online transaction processing brethren, ...

Microsoft today announced a new service in its Azure database lineup during its Build developer conference keynote today. The Azure SQL Data Warehouse, which will go into public preview in June, is ...

The evolution of the public cloud has disrupted the traditional software industry. During the last decade, almost every mainstream enterprise software platform became available in the cloud. This ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...