Data lakes have been widely misunderstood, but they are now benefiting from new best practices -- helping organizations gain significant value.
- By Dale Kim
- February 16, 2017
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