Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

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 ...

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 ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Business software giant SAP SE said it’s aiming to help enterprises eliminate the complexities of accessing and using data scattered across disparate systems and locations with today’s launch of its ...

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read Decodeable CEO Eric ...

You might not yet be a major TikTok influencer, but you can still analyze data like TikTok’s parent company, ByteDance, which recently released its real-time data warehouse architecture as open source ...

Success in any enterprise depends on having the best available information in time to make sound decisions. Anything less wastes opportunities, costs time and resources, and can even put the ...

Microsoft yesterday announced major enhancements to its cloud data warehouse offering. Microsoft Corporate Vice President for Azure Data, Rohan Kumar, gave me the skinny in a private briefing in New ...