In recent years, we’ve witnessed a significant shift in how enterprises manage and analyze their ever-growing data lakes. At the forefront of this transformation is Apache Iceberg, an open table format that’s rapidly gaining traction among large-scale data consumers.
However, as enterprises scale their data lake implementations, managing these Iceberg tables at scale becomes challenging. Data teams often need to manage table schema evolution, its partitioning, and snapshots versions. Automation streamlines these operations, provides consistency, reduces human error, and helps data teams focus on higher-value tasks.
The AWS Glue Data Catalog now supports Iceberg table management using the AWS Glue API, AWS SDKs, and AWS CloudFormation. Previously, users had to create Iceberg tables in the Data Catalog without partitions using CloudFormation or SDKs and later add partitions from Amazon Athena or other analytics engines. This prevents the table lineage from…
