As businesses are being forced to become much more operationally efficient,enterprises are turning their attention toward implementing solutions for real-time business activity monitoring (BAM). These initiatives require enterprise data to be captured and analyzed in real-time from a wide variety of enterprise applications, operational data stores (ODS) and data warehouses. While traditional data integration approaches, built on top of core ETL (extraction, transformation, loading) solutions, are well suited for building historical data warehouses for strategic decision support initiatives, they do not go far enough toward handling the challenge of integrating data with minimal latency and implementing a closed loop for business processes.
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