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Data Integration Principles and Practices: Creating Information Unity from Data Disparity

Today’s business managers depend heavily on data analysis and decision-speed information, raising the stakes for data integration. At the same time, the work of integrating data has become increasingly complex. The simple processes of extract-transform-load (ETL) integration for structured, enterprise data no longer meet the need. Unstructured data, big data, departmental data, end-user data, and external data all challenge the old models for data integration. Meeting modern data integration challenges calls for data integration strategy and architecture.

Get ready to build reliable and adaptable data integration systems, and to make the most of recent advances in data integration technologies by following the path of strategy first, architecture next, and then integration systems and technology.

You Will Learn

  • The role, purpose, and issues of data integration strategy
  • Frameworks and patterns for data integration architecture
  • How to fit unstructured data into integration strategy, architecture, and systems
  • How to use integration architecture and patterns to handle large volume data challenges
  • How to apply architecture and patterns for enterprise, departmental, and local data
  • How to select, mix-and-match, and apply several data integration methods including
    ETL, federated, service-oriented, and virtualized
  • Techniques to collect and manage data integration requirements
  • Tips and techniques for success throughout the data integration lifecycle-strategy, architecture, systems development, and operations

Geared To

  • BI, MDM, and data warehousing program and project managers
  • Data integration architects, designers, and developers
  • Data and technology architects

Technical resources.

Harnessing the power of Bilytica Consulting Services

Seeing and Understanding your data is the key to competitive advantage in this era. See why Industry Leaders Trust Bilytica consulting solutions.

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Best practices for adopting secure, governed self-service analytics

Find out how Bilytica advanced analytics allows business users and IT to transform the way they used to see their valuable information.

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Industry Leaders Trust Bilytica

         
         
         
         
         
           

Put the most powerful analytics platform to work for your business.

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About Bilytica

We work with our clients in improving business performance, increasing profitability to reducing costs and making better use of people and resources. Since 2007, Bilytica and its brilliant team are connecting people, data and advanced analytics together.

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