![]() ![]() If you’re interested in Iceberg because you heard it solves a problem, such as schema evolution or row-level updates, and you want an easy way to test it out, then you’re in the right place! This post will get you up and running with Spark and Iceberg locally in minutes. You can read about this new setup in our follow-up blog post: Iceberg’s REST Catalog: A Spark Demo. Keep an eye out for more in-depth Iceberg tutorials on the Subsurface Website and make sure to follow me on twitter to not miss any of my future Data Lakehouse content.UPDATE: This docker environment has been updated to use the Iceberg REST catalog. ![]()
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