Joined September 2023
13 Photos and videos
Apache XTable (Incubating) retweeted
23 Sep 2025
New work on Generic Table APIs from Snowflake and Onehouse in Polaris uses XTable for non-iceberg tables. Running XTable via REST API = POST /v1/conversion/table/ {"source-format": "HUDI | DELTA" ...} Decoupling catalog spec from formats future proofs innovations in storage
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Apache XTable in Production! 🎉 Azure OneLake now virtualizes #ApacheIceberg tables as #DeltaLake for broad compatibility across Fabric. This shows the robust capabilities of XTable in production at scale. Blog: blog.fabric.microsoft.com/en… #dataengineering #lakehouse
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Apache XTable (Incubating) retweeted
Unity Catalog repo went public this morning. I had a talk scheduled in the afternoon on @apachextable. I was able to integrate my live demo across #ApacheHudi #DeltaLake tables into #UnityCatalog in time for my talk. I used EMR Spark DuckDB for read/write. #dataaisummit
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Apache XTable (Incubating) retweeted
Off to #DataAISummit by @databricks 🙌🏻 Looking forward to meeting folks in person & tuning into some of the amazing sessions! I will be talking about Lakehouse table formats (Apache Hudi, Apache Iceberg & Delta Lake) & most importantly interoperability with @apachextable
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Apache XTable (Incubating) retweeted
Delta Lake, Apache Iceberg, and Apache Hudi users on their way to the Data AI Summit next week... @DeltaLakeOSS @apachehudi @ApacheIceberg #DAIS2024 #dataaisummit2024 #apacheiceberg #deltalake #apachehudi
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Looking forward to the collaboration on interoperability across #ApacheIceberg #DeltaLake and #ApacheHudi Check out the blog: delta.io/blog/unifying-open-…
Delta Lake Universal Format (UniForm) and @apachextable are actively collaborating to help organizations build architectures that are not constrained to any single ecosystem! Learn how Uniform & Xtable are unifying the open table formats. 🔗 delta.io/blog/unifying-open-… #opensource
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Apache XTable (Incubating) retweeted
I presented about @apachextable & how it brings interoperability to lakehouse table formats at Dremio's Subsurface. Check out the recording of the talk: m.youtube.com/watch?v=Hm2Gi-…
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Excited to see @Microsoft and @SnowflakeDB leveraging #ApacheXtable to build a stronger partnership together w/ interop between #ApacheIceberg and #DeltaLake 🎉 ❄️ Quote: "Fabric will be able to store data in Iceberg format in OneLake via Apache XTable translation in OneLake."
21 May 2024
.@Microsoft 🤝 Apache Iceberg 🤝 Snowflake We’re expanding our partnership to make interoperability more efficient and cost-effective between Snowflake and Fabric OneLake. This is made possible with Apache Iceberg support in OneLake.
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Apache XTable (Incubating) retweeted
Super excited to be back speaking at Databricks's @Data_AI_Summit for the 2nd consecutive time 🎉 This year we are going beyond table formats to talk about interoperability among @apachehudi, @DeltaLakeOSS & #ApacheIceberg with @apachextable. Joined by the amazing @KyleJWeller!
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Apache XTable (Incubating) retweeted
Fun evening @LinkedIn HQ demoing @apachextable & open table formats. Also amazing stuff from @JayChia5 on getdaft.io & @w_moustafa on ViewShift (dynamic data masking for data lakes)
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Apache XTable (Incubating) retweeted
Super excited to be speaking at @LinkedIn Big Data Meetup happening on 3rd May at HQ, Sunnyvale! I will be talking about @apachextable & interoperability in open table formats such as Apache Hudi, Iceberg & Delta Lake in collab with Microsoft folks! Join us on 3rd May.
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Apache XTable (Incubating) retweeted
[Blogged]: Interoperability between lakehouse table formats with Apache XTable. Link: onehouse.ai/blog/dremio-lake…
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Apache XTable (Incubating) retweeted
Here is a sneak peak of something that I have been working on. @dremio reads @apachehudi tables. This is another example of "interoperability" with open lakehouse table formats.
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Let Our Powers Combine!
At #DataCouncil last week I ran a live demo with #DeltaLake, #ApacheHudi, #ApacheIceberg showing how you can use all three table formats w/ @apachextable My demo included: 🧵👇
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Apache XTable (Incubating) retweeted
How to sync Apache XTable target tables with catalogs? Once you translate an open table format using XTable, you might want to sync those tables with catalogs such as Hive Metastore, AWS Glue, Unity, etc. đź§µ
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Apache XTable (Incubating) retweeted
OneTable is now Apache XTable (Incubating) 🎉 Table formats interoperability is a critical aspect for open lakehouse architectures. If you are interested in solving some of the challenges within interoperability, join us! GitHub: github.com/apache/incubator-…
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Hello World 👋 OneTable has a new name and is now incubating in the Apache Software Foundation as Apache XTable™ (Incubating). The GH repo moved under Apache and more details are in this blog: xtable.apache.org/blog/OneTa… #apacheiceberg #apachehudi #deltalake #datalakehouse
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3 steps to register a OneTable synced table to a Glue Catalog. OneTable allows you to register the target table format to catalogs such as Hive Metastore, Glue, Big Lake & Unity. Once you have these tables in the catalog, you can then plug in any query engine to read the data👇
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Here are the 3 steps that shows how to register a OneTable synced table to Glue: âś… Create a Glue database from your terminal âś… Define the two config files - config.YAML & catalog.YAML âś… Run the OneTable sync process which will translate the metadata in the S3 bucket
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OneTable Sync modes. OneTable provides users with the ability to translate metadata from one table format to another. It provides 2 ways to translate metadata from source to target table formats - “Full Sync” and “Incremental Sync” A 🧵
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✅ Full Sync: This mode translates all the commits from the source table format to the target format ✅ Incremental Sync: This mode allows translating commits that have not yet been synched with the target format Link: onetable.dev/docs/features-a…

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The incremental mode is a lightweight approach and has better performance, especially on large tables. If there is anything that prevents the incremental mode from working properly, OneTable will fall back to the full sync mode. Github Repo: github.com/onetable-io/oneta…
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