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Integration and Insight Aren

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Insight and Integration for the Enterprise. Enterprises want ... cleanse and reconcile data ... gurus; lack knowledge of sources and query languages ... – PowerPoint PPT presentation

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Title: Integration and Insight Aren


1
Integration and Insight Arent Simple Enough
Laura Haas IBM Distinguished Engineer Director,
Computer Science Almaden Research Center
2
Insight and Integration for the Enterprise
  • Enterprises want business insight
  • Need to correlate information from diverse
    sources
  • Need powerful analytics and views
  • Need to deliver results where, when, how needed
  • Not easy
  • Consumers may not understand sources or how to
    correlate them
  • Different consumers have radically different
    needs and abilities
  • Analytics and application subtle
  • Goals
  • automatically create a searchable source of all
    enterprise information (understand and integrate)
  • enable a variety of actionable search and
    analytic capabilities over it (analyze and
    deliver)

3
Insight and Integration for the Enterprise
  • Understand and Integrate
  • Find relevant data sources
  • Ingest large volumes of information
  • Structured, semi-structured and unstructured data
  • Real-time data streams and static warehouses
  • Automatically discover semantics, identify
    important objects
  • Automatically cleanse and reconcile data
  • Identify data relating to the same entities from
    different sources
  • Analyze and Deliver
  • Provide simple ways to request complex analytics
  • Keyword search, faceted search, natural language,
    new user interactions?
  • Leverage semantics, find what is really desired
  • Provide results in a form appropriate to the
    requestor, when/where needed
  • Reports or visualizations or objects or
  • Feed mashups, traditional programs, users in
    mobile or traditional environments
  • New analytics, often solution-specific

4
Back to the Future? Nonprocedural Data Access is
What We Need (More Of)
  • Relational dbms provided nonprocedural access
  • Relational data model and declarative query
    language
  • Relational calculus and algebra
  • Optimizer and efficient algorithms for execution
  • What has changed today?
  • Heterogeneous data in overlapping heterogeneous
    sources
  • Many if not most applications need data from
    multiple sources
  • Users arent technical gurus lack knowledge of
    sources and query languages
  • Needs are for deeper analysis, not just
    integration
  • The tools we have today are far from relational
    simplicity
  • Multiple integration engines with different
    capabilities
  • Integration specification depends on engine,
    rarely declarative
  • Operations defined by engines capabilities, no
    formal model
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