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Basing a PL design in beautiful models and theory is really hard because users will demand features that your theory explicitly forbids or has a really hard time dealing with. And they will want these features without loosing the guarantees the current design gives.

Recently ApacheArrow added two new columnar memory layouts: ListView and StringView. Now DuckDB supports them both! Awesome collaboration between DuckDB Labs and Voltron Data

It's a great day to learn about Ibis! Listen to Phillip, Principal Engineer at Voltron Data and lead maintainer of the Ibis Project, speak with @digiglean on the Real Python's recent podcast episode "Decoupling Systems to Get Closer to the Data" > buff.ly/3JsfDMP

Ibis 9.0 is out! This wraps up a massive refactor of the internals and a complete adoption for Tobiko Data's SQLGlot library for SQL generation! Plus, a ton of new features and bug fixes. Check out the blog: ibis-project.org/posts/ibis-ver…

Voltron Data Ibis Here are three big takeaways for anyone into modern data management and MLOps: 1⃣ Open Standards Rock: Using open standards like Apache Arrow makes things more efficient by allowing smooth data interchange between systems. It also helps create a flexible data architecture where

Announcing our latest #blog! We #partnered with the wonderful team at Voltron Data to create a guide on how to use the fantastic #opensource projects Ibis and SQLMesh together! Streamline your #data #analysis 😍 tobikodata.com/ibis-sqlmesh-u…

ADBC (Arrow Database Connectivity) is shaping up! The Python, Go, C, and C++ libraries are now at version 1.0.

We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck". This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format. Check out our

This Thursday, Wes McKinney will discuss what he thinks dataframes and data systems will look like in the future. Wes is the creator of some of the most popular data engineering tools, including pandas, Apache Arrow, and Ibis. He’s also a core contributor to Apache Parquet. Wes

Join me tomorrow July 11th at SciPyConf to learn about Ibis and DuckDB for geospatial applications. I'll be having a couple of live demos!! cfp.scipy.org/2024/talk/PSR9…

Join @gilforsyth tomorrow July 12th at SciPy Conference to learn about Ibis . We've been told there will be a live demo! cfp.scipy.org/2024/talk/CKVV…

I want to live in a world in which interoperable geospatial data types are as common as cat videos on the internet.

Apache Arrow 17.0.0 has been released. Check some of the cool new features and improvements on our blog post: arrow.apache.org/blog/2024/07/1…

Seminar Schedule: Sep 23: ApacheDataFusion Sep 30: @andygrove_io→DataFusion Comet Oct 07: @ParadeDB Oct 21: Voltron Data→Theseus Oct 28: WHERE TRUE Technologies→Exon Nov 04: Synnada Nov 11: InfluxData Nov 18: GlareDB Nov 25: Greptime Dec 02: Databend→OpenDAL

Are you at the #positconf ? Join Phillip tomorrow Wednesday 14th at 2pm PT in the session "It's R And Python, Not R Or Python" and learn how the do we test 20 query engines on every commit in CI in the Ibis project repo. reg.conf.posit.co/flow/posit/pos…

ApacheArrow nanoarrow 0.6.0 is released! This project is one of my favourite things to work on - it's a C library with C++, R, and Python bindings that make it easier than ever before to import and export tabular data using ApacheArrow 🧵 ⬇️

I just realized that my talk at SciPyConf 2024 is up! For a 30-minute tour of ApacheArrow nanoarrow and its place in the scientific Python ecosystem check it out! - Talk: youtube.com/watch?v=EIk6bv… - Slides: dewey.dunnington.ca/slides/scipy20…

We are happy to announce DuckDB v1.2.0 “Histrionicus”! The new release has several usability, security and performance improvements. It has new features for the CSV and Parquet formats, as well new (opt-in) options for DuckDB's own format. Read more at duckdb.org/2025/02/05/ann…

🚀 Introducing Bauplan A serverless, code-native platform for building data and AI pipelines — directly on your object store. No clusters. No notebooks. No GUI based workflows. Just Python + SQL + S3. 👉 bauplanlabs.com/blog/hello-bau…