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

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.

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

The Disconnect Between the Value of Data and Cost There’s no doubt that data use is growing worldwide. We have mobile phones with more memory, our photos are bigger, and we watch more high ...

Achieving data quality is becoming both easier and harder. Data leaders must help navigate challenges to drive business strategy.

The construction industry's data revolution is only getting started, but data lakes are quickly proving to be crucial tools for businesses wanting to stay competitive in a rapidly changing market.

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 ...

We look at cloud data lakes, what they are, where they fit in the data management lifecycle, their benefits and the key providers in the hyperscaler clouds ...

Starburst Data Inc., the commercial developer of a distributed query engine based on the open-source Trino project, today announced a set of new features intended to make it easier for ...

Ingesting large volumes of data can yield a rich source of information, but not without risk. Use these tips to improve data quality as your data lake grows.