Data Lakes: Purposes, Practices, Patterns, and Platforms

TDWI surveyed top data management professionals to discover 12 priorities for a successful data lake implementation. With the right tools, a data lake enables self-service data access and extends programs for data warehousing, analytics, data integration, and more data-driven solutions.

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Self-Service Analytics

Organizations today are supercharged by data, but most only analyze a fraction of what they collect. Find out how self-service analytics is building a data-driven culture across a range of companies. 

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Democratizing the ESB

Who ever said that ESB (or Application Integration) was only made for large companies? Learn about the benefits of an open, easy to use ESB that adapts to all companies, no matter their size or needs.

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