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What’s a Data Lake and What Does It Mean For My Open Source ClickHouse® Stack?
WEBINAR
What’s a Data Lake and What Does It Mean For My Open Source ClickHouse® Stack?
January 22 @ 8:00 am – 9:00 am Pacific Time (US and Canada)
Data lakes on open table formats are emerging as the go-to storage of large datasets for analytics, data science, and AI. This talk explains how data lakes work and how ClickHouse® is integrating them. We’ll introduce the key components of data lakes using a concrete example based on Parquet, Iceberg open table format, and the Iceberg REST catalog. Next we’ll look at new ClickHouse® feature adaptations, exploring specific issues like event stream ingest, compaction, and queries. Finally, we’ll illustrate how to combine ClickHouse® with Apache Spark and Kafka to deliver fast analytics on massive, shared tables. The real-time data lake is arriving and ClickHouse® is going to be a big part of it. Join us and bring your questions!
The webinar has ended, but because we love you here is the on-demand video of the webinar:
About the Presenter
Robert Hodges – CEO at Altinity
Robert has more than 30 years of experience with database systems and applications including pre-relational databases such as M204, online SQL transaction processing, Hadoop, and analytics. In the last few years, his work has focused on analytical databases, Kubernetes, and open source.
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