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  • Operational Data Integration for the Real-Time Enterprise: Business Agility in a Constantly Changing World
    Does your organization have access to timely, accurate and relevant information to accelerate business responsiveness and mitigate risks? Organizations perform best when they are most agile in their response to the many business conditions impacting today’s enterprise. Any disruption to the flow of information in an enterprise can directly impact the top and bottom line. Download this white paper and learn from customer scenarios and industry leaders how to use operational data integration to become a real-time enterprise and achieve operational.
  • Maximize Business Value with Right-Time Information Using Data Services
    Download this compelling Informatica White Paper to learn how your IT organization can leverage the power of a sophisticated data services solution to implement an agile enterprise information management (EIM) strategy. Discover how you can maximize business agility with right-time information to increase competitive advantage, improve compliance, and reduce cost, complexity, and risk.

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  Articles from this Site

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  • Electronic Arts Out-Games the Competition with Informatica

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  • Emerson Network Power Selects Silver Creek Systems

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  White Papers

  • Why and How to Build a Continuous Integration Environment for the .NET Platform

  • Informatica - Handling Variable Length Files Using XML

  • Maximize Business Value with Right-Time Information Using Data Services

  • EAI - Refine the Economics of Integration

  • Profiling: Calculating Return on Investment for Data Migration and Data Integration Projects

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  Web Seminars

  • Espresso Shot: Optimize Sales and Marketing with Advanced Reporting and Dashboards

  • Trends and Tactics for Improving Data Quality

  • Getting In Synch: Creative Ways to Reconcile Data Between Apps

  • The Trouble with Success: Methods for Addressing Shrinking Batch Windows

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  • Enterprise Application Integration

  • PeopleSoft Integration Tools

  • Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration

  • Integration Models: Templates for Business Transformation

  • Data Integration: Where IT and Knowledge Management Meet (PDF download)

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Data Integration Channel

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Data Integration refers to the organization’s inventory of data and information assets as well as the tools, strategies and philosophies by which fragmented data assets are aligned to support business goals. Data integration can pursue several strategies, including single, federated or virtual compilations of data for a given business purpose. Increasingly, businesses are striving to deliver consistent data views through master data management (MDM), which is meant to deliver a near real-time, hub-based and synchronized presentation of information to any seat or point of view in the organization. Data integration today is still heavily focused on middleware, software and management tools that connect software and data end points through connectors and adaptors. Over time, companies are migrating to the philosophy of a service-oriented architecture (SOA) that applies Web protocols and standards for self-identifying application and data end points. This transition is proceeding slowly and selectively as companies are reluctant to abandon proven systems, including mainframes and traditional messaging, which remain mission-critical to business operations.

Articles

Five Questions Your Integration Salesman Doesn’t Want You to Ask

This article focuses on five common questions that integration sales representatives may dance around either because of shortcomings in products or a lack of knowledge about how integration is implemented.

Essential Steps for the Integrated Enterprise Data Warehouse, Part 1

This article provides guidance to what an integrated EDW is and what design elements are needed to achieve integration.

Integrate Process Towers

Most large and midsized organizations today have done a good job of documenting key procedures within specific process towers. Despite all the resulting attention, however, there are still significant gaps.

Columns

Data Integration Will Break Out of the Silo: BI and DW Trends, 8 for ’08

How’s this for irony? A lot of integration projects create more silos!

Integration Tomorrow, Part 2: SOA Architecture

Hub and Spoke on the Wane?

Data warehousing has evolved with a DW becoming the data integration and data distribution hub feeding all the downstream feeds (spokes) to support BI applications.

Integration: Then and Now, Part 1 - SOA Architecture

More Trends in Data Integration

Ask the Experts

What is the best approach to get an integrated view of information of both my finance and sales/production systems?

What are the best methodologies for testing data integration?

White Papers

Why and How to Build a Continuous Integration Environment for the .NET Platform

By Enterprise Solution Providers, Inc.

Informatica - Handling Variable Length Files Using XML

By Arvind Kumar

Maximize Business Value with Right-Time Information Using Data Services

By Informatica

EAI - Refine the Economics of Integration

By GaneshKumar Murugan

Profiling: Calculating Return on Investment for Data Migration and Data Integration Projects

By Informatica

Books

	Enterprise Application Integration By David Linthicum
	PeopleSoft Integration Tools By Stewart S. Miller
	Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration By Dan Chang, Douglas Tolbert, David Mellor, W. H. Inmon