To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

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 ...

But storage is the easy part of the data management problem; the challenge is making use of the data once you have it. In addition to storing data for higher education institutions, data warehouses ...

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.

Do You Know Where Your Data Is? Here’s How Companies Are Approaching Cloud Storage Data lakes, data warehouses, and data marts serve different purposes for different businesses.

Part 5 of CRN’s 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 ...

Part 4 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems space.