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
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