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.

Genie is a new data integration model that underlies the Salesforce platform with the aim of moving data wherever it’s needed most -- and doing it fast.

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

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.

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 ...

Technological Innovation: Multi-Professional Collaboration with Scene Large Models ...

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.

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...