Data architecture is a formal description and mapping of the plan and structure of data assets used to support organizational goals. Components of data architecture include the databases, stores, and the integration by which data is defined, flows, is accessed and understood in current and future states for organizational purposes.


newsOpen source exchange part of contract with Department of Defense, VA
blogVendor re-focuses with PaaS and its OpenEdge core
newsIsrael-based vendor specializes in solid state scalability, deduplication and advanced enterprise array features
blogYou can certainly bet that the legal battles between SAS and WPL aren’t over. You can also figure that SAS will take WPL seriously as a competitor, using its muscle to combat the pesky startup. I hope for sustained competition that’ll benefit all statistical analysis consumers
Comments (3)
An information integration strategy that focuses on bringing information to knowledge workers is only as good as the platform supporting it. Here’s a run-down of six critical elements to consider when connecting your integration strategy with your platform reality.
blogGraphics updates show fast changes in standing competition
Comments (5)
newsAnother vendor scooped up for big data plans; IBM also expands platform to include Cloudera
featureSix "must-dos" for your BI environment and team transition
reportComplex event processing anticipated to hit $115 million in 2012, grow 30 percent in both of next two years: Celent
Industry EventsA two-day course led by thought leader John Zachman.
blogEmerging architecture gives way to “cloud-mobility-social-analytics” stack
Comments (1)
blogHolistic business process management can make use of big data a reality
Comments (2)
Twitter
Facebook
LinkedIn
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
FOLLOW US
Please note you must now log in with your email address and password.