Several start-ups market products designed to address the lack of data management features for big data platforms. For example, Diyotta provides a scalable architecture for big data integration including old-world enterprise amenities such as metadata management.
- By Steve Swoyer
- March 18, 2016
- By Quint Turner
- March 17, 2016
Big data's effectiveness, plus fusing marketing with data science and using a citizen data scientist to find your big data footing.
- By Quint Turner
- March 16, 2016
Comparing big data frameworks, plus how to secure your cloud computing environment.
- By Quint Turner
- March 14, 2016
Two companies take a different approach to building the better-than-data warehouse data warehouse.
- By Steve Swoyer
- March 9, 2016
Almost two years on, it looks as if Spark SQL, the SQL interpreter for the red-hot Spark cluster computing framework, is shaping up to be a query-processing powerhouse.
- By Steve Swoyer
- March 8, 2016
The more you understand how algorithmic models work, the better the opportunities to engage the right set of data scientists and make them productive.
- By David Loshin
- March 4, 2016
Executing the best possible data analytics strategy, getting the most out of the data you collect, and how to become a data scientist without a degree.
- By Quint Turner
- March 2, 2016