It is increasingly evident that organizations need to quickly access, analyze, and report on their data across their Enterprise in order to be agile in a competitive market. Data is becoming more of an asset to companies; it adds value to a business, but may be stored in any number of current and legacy systems, making it difficult to realize its full potential. Known as Big Data, it has until recently been nearly impossible to perform real-time business analysis on the combined data from multiple sources. Nowadays, the ability to access all transactional data with low latency is essential. With the introduction of products such as Apache Hadoop, integration of structured data from an RDBMS, including semi-structured and unstructured data, offers a common playing field to support business intelligence.

When coupled with ODI, GoldenGate for Big Data provides real-time delivery to a suite of Apache products, such as Flume, HDFS, Hive, and Hbase, to support Big Data analytics.

The high-level data integration solution is illustrated in the following diagram: