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TDWI Webinars deliver unbiased education on pertinent issues in the business intelligence and data warehousing industry. Each live Webinar is approximately one hour in length and includes an interactive question-and-answer session following the presentation.
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The Growing Practice of ETL Outside of Data Warehousing
Date: March 28, 2007
Time: 9:00 a.m. PT/12:00 noon ET
Presenter: Philip Russom, Senior Manager of Research and Services, TDWI
TDWI Research shows that data integration usage—especially in the form of ETL—is growing overall, but growing fastest outside of data warehousing. Non-warehouse ETL is now approximately 25% of all ETL usage, up from less than 20% in 2004. This is because ETL tools and techniques are increasingly applied to non-data-warehouse projects within and beyond the enterprise, like database and application consolidations, migrations, upgrades, synchronizations, and B2B data exchange. The number of these technical projects is driven up by business events like mergers, acquisitions, reorganizations, partner realignments, and new regulatory requirements.
From this Webinar, attendees will learn:
- Why ETL usage is growing outside of data warehousing
- What kind of technology requirements this involves, including new ones like SOA and software as a service (SaaS)
- How requirements for tools, techniques, and teams for ETL vary between warehousing and non-warehousing projects
- Which approaches help accommodate non-warehouse ETL without raiding resources of the data warehouse
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Sponsored by: ETI
The Hybrid Data Warehouse: Extending the BI Environment with Data Federation
Date: March 21, 2007
Time: 9:00 a.m. PT/12:00 noon ET
Presenter: Mark Madsen, Principal, Third Nature
As BI pushes into new territory due to the need for unstructured and semi-structured data such as Web content and real-time information, traditional approaches don't always cut it. Learn how data federation can extend the DW, and deliver right-time information.
Key topics covered in this Webinar include:
- Data virtualization models
- Common BI scenarios involving data federation
- Marrying non-relational and relational data
- When to use data federation and when to use data consolidation
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Sponsored by: IBM
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