Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses. In 2011, James Dixon, then CTO of the business intelligence company ...

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 ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

Choosing the right data management solution comes with a long list of considerations for district IT teams, including where to start. Banks, co-host of the Packet Pushers Podcast, has been managing ...

If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost importance. When it comes to managing data ...

To Gerrit Kazmaier, the distinction between managed databases and data lakes has never made much sense, and it makes even less sense today as data is piling up like soaring mountains being pushed up ...

Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory and forecasting future demand was relatively simple.

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

NEW YORK--(BUSINESS WIRE)--Datafold, a data reliability company, today announced data-diff, a new open source cross-database diffing package. This new product is an open source extension to Datafold’s ...