Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that ...

Media ML Data Engineering, alongside a Media Data Lake designed to handle video, audio, text, and image assets at scale.

In modern data processing, a data lake stores more raw data for future modeling and analysis, while a data warehouse typically applies a relational schema to the information before it’s stored.

Fivetran's Managed Data Lake Service aims to remove the repetitive work of managing data lakes.

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

Michigan’s cloud-based system, now in implementation, aims to integrate and refine data from across districts to provide ...

Despite the failed promises of the data lake, the concept retains some resonance in larger enterprises, and so MongoDB has chosen to leverage the term for one of its latest offerings. MongoDB's Atlas ...

What is a data lake? Some mistakenly believe that a data lake is just the 2.0 version of a data warehouse. While they are similar, they are different tools that should be used for different purposes.