justinmclean commented on code in PR #92: URL: https://github.com/apache/gravitino-site/pull/92#discussion_r2377274932
########## blog/2025-09-24-gravitino-1-0-0-release-notes.mdx: ########## @@ -0,0 +1,128 @@ +--- +title: Apache Gravitino 1.0.0 - From Metadata Management to Contextual Engineering +slug: gravitino-1-0-0-release-notes +authors: [jerryshao] +tags: [apache,gravitino,metadata,multicloud,model,security,government] +--- + +Apache Gravitino was designed from day one to provide a unified framework for metadata management across heterogeneous sources, regions, and clouds—what we define as the metadata lake (or metalake). Throughout its evolution, Gravitino has extended support to multiple data modalities, including tabular metadata from Apache Hive, Apache Iceberg, MySQL, and PostgreSQL; unstructured assets from HDFS and S3; streaming and messaging metadata from Apache Kafka; and metadata for machine learning models. To further strengthen governance in Gravitino, we have also integrated advanced capabilities, including tagging, audit logging, and end-to-end lineage capture. + +After all enterprise metadata has been centralized through Gravitino, it forms a data brain: a structured, queryable, and semantically enriched representation of data assets. This enables not only consistent metadata access but also contextual reasoning and automation across systems. As we approach the 1.0 milestone, our focus shifts from pure metadata storage to metadata-driven contextual engineering—a foundation we call the Metadata-driven Action System. + +The release of Apache Gravitino 1.0.0 marks a significant engineering step forward, with robust APIs, extensible connectors, enhanced governance primitives, improved scalability and reliability in distributed environments. In the following sections, I will dive into the new features and architectural improvements introduced in Gravitino 1.0.0. + +## Metadata-driven action system + +In 1.0.0, we have introduced 3 new components, with which we can build jobs to accomplish the metadata-driven actions, like table compaction, TTL data management, PII identification, etc. These 3 new components are: statistics system, policy system, and job system. Review Comment: This I think, is better: In version 1.0.0, we introduced three new components that enable us to build jobs to accomplish metadata-driven actions, such as table compaction, TTL data management, and PII identification. These three new components are: the statistics system, the policy system, and the job system. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
