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Next Generation Data Integration

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Data integration (DI) has undergone an impressive evolution in recent years. Today, DI is a rich set of powerful techniques, including extract, transform, and load (ETL), data federation, replication, synchronization, and more.

To help user organizations understand and embrace all that next generation data integration now offers, this report catalogs and prioritizes the many new options for DI. Gain insight into the newest generation of data integration, best practices, trends among DI users and explore an overview of representative vendors' DI tools.

With TDWI Research Director for Data Management, Philip Russom, you'll discover the next generation of data integration.

Vendor:
IBM
Posted:
26 Jul 2011
Published
26 Jul 2011
Format:
PDF
Length:
35 Page(s)
Type:
Research Content
Language:
English

This resource is no longer available.