Data Architecture

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  • Automated function point: Improving SOA estimates as specs mature

    The finalization of the new automated function point analysis will improve SOA project estimation as automation and specs mature.Tip

  • The rise of SOA: Integration gateways converge

    A SOA integration gateway can help ensure security policies are enforced.Feature

  • in-memory data grid

    An in-memory data grid (IMDG) is a data structure that resides entirely in RAM (random access memory), and is distributed among multiple servers.Definition

  • Look out, Big Data: In-memory data grids start to go mainstream

    In-memory data grids are viewed as one way to handle big data. Now experts say the technology is starting to go mainstream.Feature

  • Big data in motion: Getting the data to where it's needed

    It's great to have an abundance of data at your hands. But once you have all this big data available, the next step is getting all of it to the analytical engine. And in order to do this, designers must be prepared to rethink existing architectures. This application development handbook will help you learn how to start getting big data where it's needed. Read on and discover more about the changing role of the enterprise architect, new designs for big data and CEP, in-memory data grids, and more.E-Handbook

  • Centers of Excellence: Managing organizational skills

    Centers of Excellence are effective, but tend to slow projects down. Learn how to better organize skill sets with CoEs.Tip

  • How has the role of the business architect changed for the enterprise?

    Business leaders are concerned over the role of the business architect, rapidly changing architectures and how to keep up with a business enterprise.Tip

  • Big data in motion: Data moves with CEP

    There is a real difference between big data at rest and big data in motion. To get it moving, CEP and other technologies may be called for.Data architecture

  • Getting the most out of in-memory data grids

    In-memory data grids show potential for speeding up analysis and processing for scalable applications -- and, now, for big data applications.Feature

  • Dynamic case management's starring role on the BPM stage

    Case management technology has become more widely used among industries, including new areas like supply chain, marketing, and HR. Dynamic case management (DCM) is a new form of this, a collaborative and information-intensive process driven by outside events and requiring frequent response. In this expert handbook, ebizQ contributor Alan R. Earls reveals current dynamic case management trends and explores how the approach is expanding to new fields. Stephanie Mann, ebizQ’s assistant site editor, shares feedback from industry observers about picking the right dynamic case management platform.E-Handbook

  • VIEW MORE ON : Data management
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