What will tomorrow's information enterprise look like? One proposed architecture is the logical data warehouse, or LDW. The "D" in LDW might be something of a misnomer, however.
- By Steve Swoyer
- March 21, 2016
Learn from real-life experiences of switching from waterfall-style development to completely agile analytics.
- By Shikha Verma
- March 21, 2016
Properly securing your cloud migration, plus why open source software might be more secure than private software and Hadoop best practices.
- By Quint Turner
- March 21, 2016
Tips for combating poor data quality, how enterprises can justify their use of data integration tools, and how to get the best insight from your data.
- By Quint Turner
- March 18, 2016
Organizations must recognize when an overly restrictive governance regimen is an impediment to innovation -- particularly to innovation that has the potential to accelerate business intelligence or analytical development.
- By Steve Swoyer
- March 18, 2016
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
Will a new website visitor be a good customer? We look at two approaches to creating an analytical model that can help you answer that question.
- By David Loshin
- March 17, 2016
Data management has been focused on storage with access an afterthought. We must take the reverse approach, thinking in terms of data access first.
- By Manuel Terranova
- March 17, 2016