Project Nessie, Apache Iceberg, and Apache Spark Using Docker
In today’s modern data lakes, you work with a separation of data and metadata with open table formats like Apache Iceberg giving you vastly improved query performance, the ability to time-travel, evolve your table’s partitions/schema, and much more. Open table formats rely on metadata catalogs to track where the metadata lives so engines can access the tables using these formats. Tools like AWS Gl
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https://github.com/developer-advocacy-dremio/quick-guides-from-dremio/blob/main/icebergminiodremio.md
Introducing the Apache Iceberg Catalog Migration Tool | Dremio
Exploring Apache Iceberg with Spark
Real-time Recommendations using Spark Comcast Labs
