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- Data
Open Table Formats
5 Courses
4 Hours
Skill IQ
Open table formats provide ACID transactions, schema evolution, and reliable data versioning for modern data lakes. This path introduces the core concepts behind formats like Apache Iceberg, Delta Lake, and Apache Hudi, then builds the architectural, ingestion, and operational knowledge needed to design scalable lakehouse systems. Learners will understand how these formats work, how they differ, and how to apply them effectively across engines, pipelines, and organizational data platforms.
Content in this path
Open Table Formats
Watch the following courses to learn the foundations of Open Table Formats.
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What You'll Learn
- Open table formats core concepts and terminology
- How open table format architecture and metadata models work
- How ingestion and incremental processing work in open table formats
- How to design lake architectures with open table formats
- How to operate and manage open table formats
Prerequisites
- Learners should be comfortable with SQL and have a general understanding of data lakes, distributed data processing, and cloud-based analytics. Experience with Spark, cloud storage systems, or modern ETL/ELT pipelines will help reinforce key concepts but is not required. No prior experience with Apache Iceberg, Delta Lake, or Apache Hudi is necessary.
Related topics
- Lakehouse architecture
- Distributed data processing
- Data lake
- Apache Hudi
- Apache Iceberg
- Delta Lake
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