Data Integration Roadmap to Support Big Data and Analytics

Traditional extract, transform and load (ETL) has existed since the times when data warehousing evolved to help move data from legacy mainframe applications.  Therefore, data movement from files to relational or dimensional databases for the consumption by reporting engines has been the focus of ETL. Even in the data world today where most focus has been on data visualization or analytics or business intelligence, data professionals recognize the importance of effective ETL engines as the backbone.
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