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Enterprise data integration (EDI) software
Enterprise data integration (EDI) covers a broad range of topics, but these EDI resources will help organizations sort it all out and figure out how to best integrate corporate data for operational or analytical business purposes. Check out an online guide with enterprise data integration software tutorials, definitions, articles and information appropriate for both business and technical staff. Find out how to evaluate enterprise data integration platforms and request expert advice from our panel. Read case studies with best practices and expert tips, tricks and techniques, and learn the advantages and disadvantages of enterprise data integration methods such as extract, transform and load (ETL), enterprise application integration (EAI), enterprise information integration (EII) and hand coding.
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| EXPERT TECHNICAL ADVICE: 1 - 3 of 12 |
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| ENTERPRISE DATA INTEGRATION (EDI) SOFTWARE EXPERTS |
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Rick Sherman
Founder
ASK A QUESTION |
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| REFERENCE & LEARNING: 1 - 3 of 6 |
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Enterprise data integration quiz
Kathryn Marquis, Assistant Editor | 18 Dec 2007
QUIZ - Take this enterprise data integration quiz to test your knowledge of data integration terms, trends and technologies. |
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Your Enterprise Data: From World of Chaos to Trusted Resource with Master Data Management - Vendor Webcast

| PREMIERED: |
01 NOV 2006, 13:00 EST (18:00, GMT) |
| SUMMARY: |
As the number of data sources within an individual organization increase, trying to get an accurate picture of your data can be costly, resource intensive and risky. Attend this Webcast to learn how solutions-driven master data management (MDM) can deliver an accurate view of enterprise data across applications, while remaining within the cost and timeline of traditional individual projects. |
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Trust Your Intelligence - Vendor Webcast

| PREMIERED: |
27 JUN 2006, 12:00 EDT (16:00, GMT) |
| SUMMARY: |
Learn how you can eliminate doubt and build confidence in your data with enterprise information management (EIM). Attend this Webcast to find out how industry leaders are solving data integration and data quality issues. Discover how you can achieve one version of the truth, despite growing volumes of data from disparate systems. |
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