Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

“Enterprises need a data lake solution that consolidates large volumes of data from disparate sources," ESG analyst Jon Brown said. Cribl launched a new data lake as an alternative to traditional data ...

To make data lakes work for time-series data, it’s important to add good metadata, ensure the ability to connect your analytics platform to your data lake, and take steps to improve data lake ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...