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

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 ...

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 ...

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 ...

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 ...

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.

A data lake isn't the same as a data warehouse and vice versa. The easy thing to do, IMO, is to evaluate whether what you want to do is one or the other and then proceeding from there. Just ...

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.

There are a few key differences between data warehouses and data lakes. Here’s what K–12 IT leaders should consider when looking at how they might address their schools’ data storage needs. What Are ...