Depending on its size, scale, velocity, and complexity, big data calls for new approaches, including rethinking standard architecture frameworks.
Supports real-time business analytics with reliable big data capture and scalable distribution.
Machine-generated data poses big challenges that can make it difficult for any relational competitor to be dominant.
A new TDWI survey shows that users will aggressively adopt emerging BI technologies over the next three years.
Quest hopes to tap the Toad brand -- and Toad's popularity in IT departments -- to help it push its way into enterprise BI.
Listen to our conversation about Oracle Exadata, 'big data' and the new Exadata with Oracle ACE Christo Kutrovsky at OpenWorld.
To find the most meaningful data, organizations must move beyond how to best acquire information and focus on how to analyze and act on it.
SAP outlines an "Applied Analytics" push that will have it competing with SAS and other powerhouses in the market for industry-specific analytic applications.
How can BI deliver on its promise while enabling the real-time capability required by today's business users?
In an interview, consultant Aaron Zornes explains why he thinks master data management processes and pools of big data were made for one another.