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Tuesday, May 17 • 11:30am - 12:20pm
Building Fast ClickHouse Analytics for MySQL Transaction Data Using Kubernetes

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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. 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.
Speakers
avatar for Kanthi Subramanian

Kanthi Subramanian

Open source Developer/Developer Advocate, Altinity
 Kanthi has close to 2 decades of experience in software development with focus on Data Engineering(ETL/Streaming pipelines, Data warehousing) in the last 4-5 years. He has been an active open source contributor to projects such as Apache Airflow , Cassandra and others.
avatar for Robert Hodges

Robert Hodges

CEO, Altinity
Robert Hodges is CEO of Altinity, an enterprise provider for ClickHouse data warehouse. He's also a database geek with experience on at least 20 DBMS types. Robert caught the Kubernetes bug at VMware in 2018.

Tuesday May 17, 2022 11:30am - 12:20pm CDT
Classroom 202 M2
  Partner

Attendees (23)