Building Fast #ClickHouse Analytics for #MySQL Transaction Data Using Kubernetes - Kanthi Subramanian, Robert Hodges - Percona Live 2022.

MySQL servers routinely process hundreds of thousands of transactions per second on busy web properties. Analyzing those transactions is a different matter: For that, you need an analytic #database like ClickHouse with column storage, efficient data compression, and parallel query. In this talk, we'll show how to set up a Kubernetes-based analytic service based on Debezium, Kafka, and ClickHouse.

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We'll discuss management options for each component, and also discuss options to represent transactional data in ClickHouse. All
components are open source and the pipeline can run on any Kubernetes implementation.

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