Name: Building Next-gen Reliable & Efficient Data Lakes with Apache Iceberg
Start: 2021-12-09T16:00:00+11:00
End: 2021-12-09T17:30:00+11:00

Apache Iceberg is an open table format for huge datasets. Iceberg adds tables to compute engines including Spark, Flink, Hive and Impala using a high-performance table format that works just like a SQL table.

Features of Iceberg table format include Schema evolution, Hidden and flexible partitioning, partition evolution, time travel and rollback. It runs on any storage HDFS, Ozone, S3, ADLS etc.

Join Sourabh and Manish as they take you through Iceberg's role in helping to create a next-gen data lake.

R Chow

Sourabh

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Building Next-gen Reliable & Efficient Data Lakes with Apache Iceberg

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Building Next-gen Reliable & Efficient Data Lakes with Apache Iceberg

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