The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and processing are mandatory for many use cases. Apache Kafka is deployed across the financial services business departments for mission-critical transactional workloads and big data analytics. High scalability, high reliability, and an elastic open infrastructure are the key reasons for the success of Kafka. This blog post explores different use cases, architectures, and real-world examples in the FinServ sector.
This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
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