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
A checklist for proper IoT security, plus best practices for picking a big data BI tool and tips for unlocking that latent potency of IoT in advertising.
- By Quint Turner
- March 15, 2016
How can we include new technologies with our existing DW environment? We present a new architecture that combines the stability and reliability of the older BI architectures while embracing the new and innovative technologies and techniques now available.
- By Claudia Imhoff
- March 15, 2016
Comparing big data frameworks, plus how to secure your cloud computing environment.
- By Quint Turner
- March 14, 2016
Five ways to reduce risk and find the opportunities in leaner development processes.
- By Cass Brewer
- March 14, 2016
If 80% of BI projects fail, how do you become part of the 20% that succeeds? Plus unlocking the secrets of unstructured data and why data integration requires a special focus.
- By Quint Turner
- March 11, 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