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Learn how data lakes integrate with ClickHouse® in this technical webinar that explores the emerging role of open table formats in storing large datasets for analytics, data science, and AI applications. Discover the fundamental components of data lakes through practical examples using Parquet, Iceberg open table format, and Iceberg REST catalog. Explore new ClickHouse® feature adaptations, focusing on event stream ingestion, compaction, and query optimization. Master the techniques for combining ClickHouse® with Apache Spark and Kafka to achieve high-performance analytics on extensive shared tables. Gain insights into the future of real-time data lakes and ClickHouse's pivotal role in this evolving landscape, complete with interactive Q&A opportunities and access to comprehensive resources including documentation, knowledge base, and community support channels.
Syllabus
What’s a Data Lake and What Does It Mean For My Open Source ClickHouse® Stack?
Taught by
Altinity