#apachearrow

Check out this Kubeflow in-memory data cache solution built on #ApacheArrow & #ApacheDataFusion! It optimizes sharding of #ApacheIceberg tables and enhances #Kuberentes for #GenAI workloads. 📽️ #KubeCon + #CloudNativeCon talk:

Hardcharger is GizmoData’s open-source DuckDB 2.0 server, built on Warp SQL, an HTTP protocol streaming Apache Arrow. Every feature included; no license keys. By @ProgRockRec #duckdb #apachearrow...Show more

On today's blog we’re spotlighting a specific change in the #ApacheArrow 9.0.0 release. Learn how the Arrow C++ execution engine, Acero, drives significant performance gains in Arrow workflows.

I wrote some thoughts on why I think #ApacheArrow, Flight, Parquet and associated projects are a game changer for OLAP. But also for data science, data warehousing, and big data in general. Data is the API and Arrow makes it interoperable:

New on our blog: #OpenTelemetry Protocol with #ApacheArrow in Production

One hour until @IanMCook answers all of your questions about the dynamic pairing that is #ApacheArrow + @substrait_io ✨

😀 Come join us at our next #rstats meetup TONIGHT 💬"Bigger but local: Tools for uncomfortably big data” by Edward Visel @alistaire We are going to learn how to use #ApacheParquet #ApacheArrow and #ApacheDrill with R! 👉RSVP at

Did you miss the last Subsurface Community Meetup? 🤔 We've got you covered! Check out this recap featuring a great conversation about Apache Arrow 🏹 with author @zeroshade and Dremio's Jason Hughes. #ApacheArrow

⭐ FDAP = Flight, DataFusion, #ApacheArrow, & Parquet Learn about the “FDAP stack” and discover why we used it to build #InfluxDB 3.0.

What problems was #ApacheArrow 🏹 created to solve? Join our upcoming virtual Subsurface Meetup where we'll be joined by the author of the first ever book about Apache Arrow, Matt Topol, and Dremio's Jason Hughes to learn more! Register now! ➡️

We’re celebrating the latest @ApacheArrow 10.0.0 release by sharing 5 things we’re excited about 🏹

Things are about to get more expressive: #ApacheArrow now runs on C++17! This upgrade is great news for maintainers and contributors.

The @IbisData 4.1 release brings a new pair of functions for reading CSV and Parquet to any supported backend, with the same line of code. @kae_suarez walks through what that looks like on #ApacheArrow DataFusion, @duckdb, and @DataPolars. Check it out!

GoAi turns 1, Come to @datametrician talk and learn about our teams major achievements, our plans for the future, and how developers can become a part of this rapidly evolving ecosystem!! #ApacheArrow #ApacheParquet #MachineLearning #WOOT @gpuoai #GPU

If there's anyone I'd recommend to listen to about #ApacheArrow and #golang, it's @zeroshade! Matt wrote the book on using Arrow (literally)! Really, this article is a match made in heaven.

Have you thought about using #golang for your #DataScience workflows? When paired with #ApacheArrow and #Parquet you can experience advantages for common use cases. @zeroshade wrote a series of posts covering this topic. First up: how to get started.

🚨 Want to win a FREE copy of the first book dedicated to Apache Arrow? Join us for a virtual Subsurface Community meetup TOMORROW to enter a giveaway for "In-Memory Analytics with Apache Arrow"! Register here 📲 @zeroshade #ApacheArrow

#ApacheArrow 11.0.0 is out! This release strengthens its position as the backbone for #developers who need to interop between different libraries, tools, and languages. Over the last few months, the team resolved 423 issues across 95 contributors. See the 🧵for highlights:

Understand the origins of @ApacheArrow & its profound impact on the Data science/engineering space in this new blog from @Dipankartnt Read it here: #ApacheArrow

🚀 "Apache Arrow, l’outil révolutionnaire pour une analyse de données performante et interopérable" Découvrez avec @bluxte comment intégrer Arrow dans Elasticsearch pour des traitements ultra-efficaces et des échanges de données sans pareil #ApacheArrow #SunnyTech2025

Looking for a method to load a dataset on @neo4j #GraphDataScience using the new #ApacheArrow feature? This evening our colleagues are giving a speech about it and also showing how to use #Neo4j #graph to generate the embeddings for #recommendations. You are doing a great job💙

If you’re an #RStats developer working with large datasets, it’s time to explore what #ApacheArrow - the multi-language toolbox for working with larger-than-memory data - can do for you. Get access to a tutorial and resources in our latest blog: