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Seven principles for achieving high performance and scalability for information integration

To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources.


Who's afraid of the big (data) bad wolf?

Shows the value of implementing information integration and governance from the very start of all types of big data projects.


Critical Capabilities: Data Delivery Styles for Data Integration Tools

Together with Gartner's "Magic Quadrant for Data Integration Tools," this report will help IT leaders pick the tool best suited to their conventional and emerging data delivery needs.


Business Case for Enterprise Data Integration Strategy:

Comparing IBM InfoSphere Information Server and Open Source Tools

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InfoSphere Information Server for Data Integration

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Spend 3 minutes and learn how InfoSphere Information Server supports big data integration, agile integration for all levels of data volume, easy self-service data integration, and more!

Boost Data Veracity with IBM InfoSphere Data Replication

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See how IBM InfoSphere Data Replication can seamlessly replicate data to and from your data warehouses

Sicoob uses IBM InfoSphere Information Server with IBM System z to handle rapid business growth

Sicoob uses IBM InfoSphere Information Server with IBM System z to handle rapid business growth Sicoob, Brazil's largest cooperative credit system, talks about how they deployed InfoSphere Information Server with System z to create a highly scalable and reliable platform to meet increased demand on their service network from their customers' mobile devices. Sicoob achieved 90% consolidation of their server environment and reduced power consumption by 400%.

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  • Integrating and governing big data

    Does big data spell big trouble for integration? Not if you follow these best practices
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