DataNation - Podcast for Data Engineers, Analysts and Scientists 60 – Interoperability of Data Lake Table Format (Apache Iceberg, Apache Hudi, Delta Lake)
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Jun 28, 2024 Discussion on interoperability of data lake table formats like Apache Iceberg, Apache Hudi, and Delta Lake, highlighting challenges and unique features. Emphasis on making informed architectural decisions in data lake environments.
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Data Lakehouse Formats and Interoperability
- Data lakehouse table formats like Apache Iceberg, Hudi, and Delta Lake offer features like metadata tracking, time travel, and file skipping.
- Interoperability tools like Apache Xtable and Uniform address format limitations but don't eliminate the need to choose a format.
Format-Specific Features
- Each format has a unique approach to table structure and architecture, impacting features like partitioning.
- Apache Iceberg's partition transforms, a metadata operation, may be lost when converting to other formats.
Using Interoperability Tools
- Use interoperability tools like Apache Xtable if you need to read data in a tool that doesn't support the original format.
- Convert metadata to enable reading, for instance, from Apache Hoodie to Apache Iceberg for tools like Dremio or Snowflake.