A leading provider of integrated financial services and institutional banking services in southeast Asia
needs a solution that can easily and efficiently extend its data integration architectures to Big Data systems in real-time without negatively impacting the performance of their source systems.
The Company’s data is provided both in near-real-time and in batch, for later analysis. After building a data ingestion pipeline to make data sources available to analytics teams, the Company can perform many business applications, and
they will integrate many new data sources soon, ranging from OLTP databases to web server logs and message queues.
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Intel and Cloudera Integrate a Company’s Oracle* Infrastructure with Hadoop* via Kafka* Messaging
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