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

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

A data warehouse contains structured data whereas a data lake can contain structured, unstructured, and semi-structured data. Data in the data lake comes from multiple sources and will have varying ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization.

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 ...

Part 5 of CRN’s 2023 Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems and services space.

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and ...

Dremio shifts analytics processing from data warehouse to data lake to speed up self-service - SiliconANGLESiliconANGLE Media is a recognized leader in digital media innovation serving innovative ...