To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.
- By Philip Russom
- February 2, 2017
Data lakes disturb me. It's the shallowness of the definition that concerns me the most.
- By Barry Devlin
- January 31, 2017
Pessimists are predicting the end of Hadoop -- "peak Hadoop," in the words of one influential analyst. Optimists say Hadoop's future is assured. Who's right?
If you don't know where to start with big-data-as-a-service, upstart player Cazena says it has just the thing for you. Cazena markets managed data mart and data lake services -- with a twist.
When designed and managed properly, a data lake can enable faster, more trusted big data analytics.
- By Philip Russom
- January 23, 2017
The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization. In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.
- By Philip Russom
- December 16, 2016
At the re:Invent conference, Amazon announced a slew of new products, services, and features, including a technology for querying against its S3 storage service and a new AI framework.
- By Steve Swoyer
- December 6, 2016
How to improve your data lake, how to align your business with the subscription economy, and what to take away from the latest research on IoT security problems.
- By Quint Turner
- November 18, 2016