As organizations move beyond traditional data lakes and warehouses, the need for scalable, performant, and reliable table formats has never been greater. Apache Iceberg is quickly becoming the go-to open-source table format for the modern data stack—bringing the features of SQL tables to the data lake with schema evolution, time travel, partitioning, and ACID transactions.
In this exclusive Hevo Learning Lab session, join Alex Merced—Head of Developer Advocate at Dremio and co-author of Apache Iceberg: The Definitive Guide—as he unpacks the "what," "why," and "how" of Apache Iceberg. Whether you're just getting started or looking to deepen your knowledge, this session will give you actionable insights into adopting Iceberg to power fast, reliable, and scalable analytics.
Here's what this session will cover:
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What Apache Iceberg is and why it’s redefining the modern data lake
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Key architectural concepts: metadata layers, manifests, partition specs, and more
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How Iceberg compares with other formats like Hive, Delta Lake, and Hudi
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Real-world use cases and how leading companies are implementing Iceberg
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Live walkthroughs of Iceberg operations and tools
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Best practices for integrating Iceberg with your data pipelines
Reserve Your Spot Today!
