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 have been ...

Data warehouses have proven to be great repositories for enormous amounts of critical information, but the process of preloading data into the necessary structure to run business analytics workloads ...

Most credit James Dixon of the open source BI vendor Pentaho with coining the phrase “data lake.” Think of a data lake as an unstructured data warehouse, a place where you pull in all of your ...

The data lake was a critical concept for companies looking to put information in one place and then tap it for business intelligence, analytics and big data. But the promise never quite played out.

Have you ever worked for a company that had 100% of their enterprise data in one single database? No, of course not. Teradata introduced the first purpose-built data warehousing appliance in 1978 and ...

Dremio sees its data lake model as eventually supplanting the monolithic data warehouse. And while this rhetoric is reminis­cent of the height of the Hadoop era, there are definitely increas­ing ...

There’s the pressing need to break down silos in organizations. But will technology find a way to pick up the pieces and build new ones? It sounds like the kind of marketing metaphor that sells ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

As acquisition professionals, with the hindsight of five, 10 or 20 years' experience, we can move from blindly populating templates to an intuitive understanding of the connections between schedules ...