The flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.

Data lakes and data warehouses are both very important for data analysis - and very different. Here's how to decide which you need.

Do You Know Where Your Data Is? Here’s How Companies Are Approaching Cloud Storage Data lakes, data warehouses, and data marts serve different purposes for different businesses.

The region is not prepared for the unprecedented demand from data centers and other big users like agriculture.

LONDON, Sept. 25, 2019 /PRNewswire/ -- Data lakes have something of a mixed reputation, with detractors arguing that, in practice, storing all your business data in one place on the go and without ...

The report found that Great Lakes states are largely unprepared to meet growing demand as the region sees expansion of data ...

This new data-centric security approach to your data architecture can save time and resources that everyday businesses can finally have access to enterprise-grade data management.

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

If care isn’t taken, a data lake can quickly deteriorate into a data swamp, where users struggle to extract the right data, performance is insufficient and organizational expectations aren’t met.

There are a few key differences between data warehouses and data lakes. Here’s what K–12 IT leaders should consider when looking at how they might address their schools’ data storage needs. What Are ...