Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...

For IT teams, cutting tech debt and reducing toil is most likely at the top of their 2024 New Year’s resolutions. In the ever-evolving landscape of data management and artificial intelligence (AI), ...

In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...

Instead of extracting, transforming and loading data into separate analytic clusters or data warehouses, converge data so all applications can use it in real time Applications have always dictated the ...

Disclaimer: This is not formal legal advice, and my intent with this article is to generate awareness about growing data residency laws. As enterprises are building the cloud-scale data lake, the ...

Get the latest federal technology news delivered to your inbox. Federal agencies are flooded with huge amounts of data — procurement records at the General Services Administration, data on health care ...

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.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now What is a data lake solution? 5 must-have ...

In mid-2014, a pair of Gartner analysts levied some trenchant criticisms at the increasingly hyped concept of data lakes. "The fundamental issue with the data lake is that it makes certain assumptions ...