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Scott Haines
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Scott Haines
@newfront
OSS Engineer | Speaker • Trainer | #DatabricksMVP | Author @OReillyMed | ❤️ #ApacheSpark. ❤️ #Dogs. #DatabricksMVP. Views are my own
California, USA
linktr.ee/Newfront
Joined November 2008
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  • user avatar
    Scott Haines
    @newfront
    May 29
    Advancing #ApacheIceberg on Databricks: Iceberg v3 GA, Open Sharing, and Unified Governance Big drop from the UC team comes in the form of multiple Apache Iceberg capabilities, all landing at once, and the throughline is real: the catalog is the center of gravity for the open
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    From the open_lakehouse community on Reddit: Advancing Apache Iceberg on Databricks: Iceberg v3 GA,...
    From reddit.com
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  • user avatar
    Scott Haines
    @newfront
    May 21
    If you’re in the Bay Area tomorrow and looking for an excuse to hang out with the @ApacheIceberg community. Come join us at the Bay Area Apache Iceberg meetup (luma.com/lvasrbqk) Engineers from @awscloud, @puppyquery , @databricks, @Snowflake, @Cisco, hyperparam,
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  • user avatar
    Scott Haines
    @newfront
    Apr 29
    ☘️ I had the pleasure of speaking at the Seattle/Bellevue Apache DataFusion meetup last Thursday at @databricks . 🚔 The talk was on governance "Unifying Open Lakehouse Governance via Policy Portability". This might feel like a boring concept, but it is in my opinion one of the
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  • user avatar
    Scott Haines
    @newfront
    Sep 13, 2025
    ✍️ A few years ago I wrote this blog post about analytical stream processing. It’s survived the test of time, even with #llms and #agenticai in the mix. The foundations remain the same - good data wins. Happy #programmersday medium.com/data-science/a…
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  • user avatar
    Scott Haines
    @newfront
    Sep 12, 2025
    🏁 This is huge. #Protovalidate is an easy-to-use, open-source validation library for all your APIs and streaming data. Step 1: Write your #Protobuf messages Step 2: Add your rules and codegen Step 3: Profit
    This image shows a Protobuf message with Protovalidate annotations. These annotations provide the missing rules to make protobuf super powerful. By default, Protobuf guarantees type-safety, but you still need to spend time manually writing validation rules to ensure the right data passes between service boundaries (req/resp). With Protovalidate, you can simply compile down those rules and call it done.
    Using the compiled Protovalidate rules, simply call "Validate" to ensure your protobuf message is correct and follows the semantic data quality rules.
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