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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
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, ...
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 ...
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 ...
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: ...
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