As an industry, we’ve been talking about the promise of data lakes for more than a decade. It’s a fantastic concept—to put an end to data silos with a single repos­itory for big data analytics.

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More I wrote The Security Data Lake in 2015. At the time, ...

Call them what you will—online analytical processing (OLAP) databases, enterprise data warehouses (EDWs), massively parallel processing (MPP) databases but databases designed for analytical workloads ...

While much has been said and written about the data lake, in the end, the concept has stayed pretty simple. The idea has been to use Hadoop as a place that data of all types could be stored in greater ...

Hadoop-based data lakes are springing up all over the place as organizations seek low-cost repositories for storing huge mounds of semi-structured data. But when it comes to analyzing that data, some ...

Ming Tang, interim chief digital and information officer at NHSE, said that the single patient record will connect existing systems.

Eon’s integration with Microsoft OneLake is available now in public preview. Learn more at About Eon . Eon is the leader in ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping ...

As we bat cleanup with our 2018 predictions for big data, we're going to pick up where Big on Data bros Andrew Brust and George Anadiotis have left off. But beneath the surface, we're seeing the ...