Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Kenneth Harris, a NASA veteran who worked on the James Webb Space Telescope, shares how hardware and software ...

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, ...

The “data lake” concept became popular following the explosion of interest in big data and Hadoop. The data lake was seen as a modern and more efficient alternative to the enterprise data warehouse ...

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 ...

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 ...

It was more than coincidence that Cloudera, Hortonworks, and SAP each issued announcements this week premised on the notion that data lakes are going the way of enterprise data warehouses before them: ...

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 ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...