Business intelligence (BI) is at the heart of the best global organizations, enabling them to understand business trends, improve decisions and support day-to-day operations. ETL (extract, transform and load) is the process that enterprises use to build the consolidated data stores (e.g., data warehouses and data marts) required for effective BI. Traditionally, ETL processes have been run periodically, on a monthly or weekly basis, and use a bulk approach that moves and integrates the entire data set from the operational source systems to the target data warehouse. While this approach was acceptable for enterprises over the years, current business conditions require a new way of integrating data - in real time and in an efficient manner.
To stay ahead of these changing business conditions and increase the value of real-time BI implementations, a new and intelligent approach for ETL is required. The power behind it is change data capture. Change data capture (CDC) is an innovative approach to data integration that is based on the identification, capture and delivery of the changes made to enterprise data sources.
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