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
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
Why your data must be trusted, useful, integrated, and governed.
- By Wes Flores
- March 8, 2016
Limitations of ETL and how to get around them, plus big data project failure due to miscommunication among employees and how bad data quality prevents good marketing automation.
- By Quint Turner
- February 22, 2016
Proponents of data warehouse automation say the way we design, build, and manage data warehouse systems is obsolete. They say ingenuity, not labor, is the most important contribution human beings can make to the design, development, and optimization of the warehouse.
- By Steve Swoyer
- February 19, 2016
Like many IT systems, data integration infrastructure needs to modernize to keep up with new business and technology requirements.
- By Philip Russom
- February 17, 2016