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Google · 3 ways to run high-performance Apache Spark jobs on Apache Iceberg data
- When
- , 20:00–21:00
- Where
- Online
- Category
- Tech
- Official page
- cloudonair.withgoogle.com (opens in a new tab)
my take
The most engineering-dense hour in this batch, and the only one that names the lock-in question directly.
~/workI advise infrastructure and data teams in Luxembourg on observability and reliability. Work with me →
about the event
Technical Google Cloud session with Brad Miro and Suda Srinivasan on running Spark against Iceberg tables: serverless batch ETL, ephemeral interactive PySpark sessions from your own IDE, the Lightning Engine native C++ execution path, and the Lakehouse runtime catalog for zero-copy BigQuery reads. Published slot is 20:00 to 21:00 Luxembourg time and the session is online. Registration on the Google Cloud OnAir page is required and no price is listed.
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