Cover Image for Apache Gravitino Virtual Community Sync
Cover Image for Apache Gravitino Virtual Community Sync
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Apache Gravitino Virtual Community Sync

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About Event

Migrations are where adoption gets real. The quickstart works, the architecture makes sense, and then you're looking at years of tables in a Hive Metastore, wondering how to move them without breaking anything downstream.

That's the headline talk at this Community Sync. Abhijeet Singh and Mehakmeet Singh engineers at Roku, will walk through their Gravitino migration journey: how their team is moving and handling tables between their metastore and Gravitino on the road to production, the gaps they found and fixed along the way, and the fallback mechanisms that let them do it safely. It's the part of adoption every team goes through and almost nobody talks about publicly.

We'll also share a look at where the Apache Gravitino roadmap is headed, straight from the project's maintainers, with time to weigh in on what matters to you. Bring the questions you've been sitting on in the issue tracker, there will be plenty of room for Q&A.

If you're running Gravitino, evaluating it, migrating to it, or contributing to it, this is the room. It's free, it's virtual, and it's early enough in the day to catch most timezones. Grab your spot and we'll see you on the 9th.

New to Gravitino?

Apache Gravitino is a federated metadata lake, a catalog of catalogs that puts tables, filesets, models, and streams from across your stack behind one API, without moving any data. Start at datastrato.ai/get-started, and if Gravitino is useful to you, star the GitHub repo. It's the easiest way to support the project and help the community grow.

Hosted by Datastrato

Datastrato is the company that originally created Apache Gravitino, the open-source metadata lake that puts tables, models, and files under a single catalog, lineage graph, and access layer. They are building the open data fabric platform to accelerate trusted AI, and host the Data for AI community. More at datastrato.ai.

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