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Transforming Your Data for Analytics: Three Options

How can you deliver analytics that bypass organizational silos and provide faster access to business critical information from multiple data sources?

This whitepaper compares three different options for transforming heterogeneous data for analytics:

  • Traditional ETL
  • Data Mashing
  • Federated Queries
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Traditional systems used ETL processes to load to a data warehouse. While this is effective for some use cases, it may not deliver data insights at the speed required by today's users. In many cases, newer approaches like data mashing and federated queries can offer faster response times, end user self-service and improved data governance.

Learn the differences between these data transformation processes and the strengths and drawbacks of each in this new whitepaper. Access your copy now.

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