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 ...

But should they be stored in a data warehouse, a data lake, or an old-fashioned database? It all depends on how that data is going to be used.

A data lake is not a direct replacement for a data warehouse; they are supplemental technologies that serve different use cases with some overlap. Most organizations that have a data lake will also ...

Read here A data warehouse stores data from a variety of “known sources” from across a company or organisation. This data is referenced by employees and decision-makers and exchanged regularly — ...

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 ...

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 ...

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 ...

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 ...

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.

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.