Add a short post embedding my talk at Data and AI Summit
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layout: post
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title: "Presenting Rust and Python Support for Delta Lake"
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tags:
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- deltalake
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- databricks
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- featured
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- rust
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author: rtyler
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team: Core Platform
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---
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Delta Lake is integral to our data platform which is why we have invested
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heavily in [delta-rs](https://github.com/delta-io/delta-rs) to support our
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non-JVM Delta Lake needs. This year I had the opportunity to share the progress
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of delta-rs at Data and AI Summit. Delta-rs was originally started by my colleague [QP](https://github.com/houqp) just over a year ago and it has now grown to now a multi-company project with numerous contributors, and downstream projects such as [kafka-delta-ingest](/blog/2021/kafka-delta-ingest.html).
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In the session embedded below, I introduce the delta-rs project which is
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helping bring the power of Delta Lake outside of the Spark ecosystem. By
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providing a foundational Delta Lake library in Rust, delta-rs can enable native
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bindings in Python, Ruby, Golang, and more.We will review what functionality
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delta-rs supports in its current Rust and Python APIs and the upcoming roadmap.
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I also try to give an overview of one of the first projects to use it in
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production:
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[kafka-delta-ingest](https://github.com/delta-io/kafka-delta-ingest), which
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builds on delta-rs to provide a high throughput service to bring data from
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Kafka into Delta Lake.
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<center>
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<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/scYz12UK-OY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</center>
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Investing in data platform tools and automation is a key part of the vision for
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Platform Engineering which encompasses Data Engineering, Data Operations, and
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Core Platform. We have a [number of open positions](/careers/#open-positions)
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at the moment including a position to work closely with me as [Data Engineering
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Manager](https://jobs.lever.co/scribd/e2187c1c-a1d6-4b77-bde6-acc997f68156).
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The leader of the Data Engineering team will help deliver data tools and
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solutions for internal customers building on top of Delta Lake, Databricks,
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Airflow, and Kafka. Suffice it to say, there's a lot of really interesting work
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to be done!
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