Real-Time Analytics with Apache Kafka

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Presented by

Johnson Noel

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The popular messaging technology Apache Kafka is more often being used as part of a real-time analytics environment. Its focus on data-in-motion makes it ideal for storing raw, granular data that is then transformed into a format more suited for analytics. The key complementary technology to Kafka is a stream processing engine that can take Kafka data and prepare it in real-time into an analytics data store. Watch this webinar as Johnson Noel, senior technical solutions manager, describes how stream processing engines are used with Kafka to define real-time analytics pipelines.

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Hazelcast is a real-time data platform that enables enterprises to capture value at every moment by consolidating transactional, operational and analytical workloads into a single data platform. With Hazelcast, enterprises can increase actionable insights by unifying event streams with contextual insights from traditional data stores at in-memory speeds. From the cloud to the data center to the edge, Hazelcast is unique in its ability to transform processes to help its customers achieve a competitive advantage via material revenue generation, risk management or cost reduction.