When many vendors begin glorifying the same shiny object, you usually can be sure they've found one more way to make you nervous about falling behind your competition. Take big data, for example.
Hadoop has become the preferred choice for big data analytics; it can handle both structured and unstructured data at very high volumes with an unprecedented price/performance ratio. Hadoop's ecosystem advances now also make it suitable for real-time analytics. We explore how organizations can put Hadoop to work to improve operations and gain a competitive edge.
Just because information isn't stored in a database field doesn't mean it lacks structure.
Enterprise archive app accelerates query, enhances governance and management using Hadoop’s YARN, HCatalog, and Ambari.
What is decision management and how is it related to advanced analytics? What kind of decisions can be managed (and thus improved), and how can you identify them?
- By James E. Powell
- June 17, 2014
The Sapphire Now event this year was all about simplicity, the cloud, and millenials. That's the message that SAP CEO Bill McDermott wanted to drive home in his keynote. BI, meanwhile, took a back stage to HANA and cloud announcements.
Do your data integration projects need to be more responsive to your users? Extreme Scoping may be just what you need to be more agile, and it's easy to incorporate its principles into your current methodology.
- By James E. Powell
- June 17, 2014
One of the biggest trends today is the democratization of BI and analytics. Today's tools, applications, and platforms are making it easier for nontechnical business users to discover, analyze, and share data insights without handholding by IT or data scientists.
- By David Stodder
- June 17, 2014