Josh Patterson(@datametrician) 's Twitter Profileg
Josh Patterson

@datametrician

Co-founder and CEO @voltrondata. Originator of @RAPIDSai former @PIFgov (#44). Building bridges not walls. Making Data Science more efficient.

ID:16529292

linkhttp://www.linkedin.com/in/pattersonjoshua/ calendar_today30-09-2008 15:43:31

9,7K Tweets

4,5K Followers

1,0K Following

MLOps Community(@mlopscommunity) 's Twitter Profile Photo

Voltron Data Ibis Project 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

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MLOps Community(@mlopscommunity) 's Twitter Profile Photo

Just had a great chat with Cody Peterson on the latest MLOps Community Podcast! Cody, a senior technical product manager at Voltron Data , shared his insights on MLOps, the importance of data, and the cool stuff happening with the Ibis project ( Ibis Project ).

Just had a great chat with Cody Peterson on the latest MLOps Community Podcast! Cody, a senior technical product manager at @VoltronData , shared his insights on MLOps, the importance of data, and the cool stuff happening with the Ibis project ( @IbisData ).
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Tobiko Data(@TobikoData) 's Twitter Profile Photo

Announcing our latest !

We with the wonderful team at Voltron Data to create a guide on how to use the fantastic projects Ibis Project and SQLMesh together!

Streamline your 😍

tobikodata.com/ibis-sqlmesh-u…

Announcing our latest #blog! We #partnered with the wonderful team at @VoltronData to create a guide on how to use the fantastic #opensource projects @IbisData and @SQLMesh together! Streamline your #data #analysis 😍 tobikodata.com/ibis-sqlmesh-u…
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Mim(@mim_djo) 's Twitter Profile Photo

holly Cow, I just witness a miracle, Ibis Project is the most underrated data engineering package
WTF is this sorcery !!!

holly Cow, I just witness a miracle, @IbisData is the most underrated data engineering package WTF is this sorcery !!!
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Naty Clementi(@ncclementi) 's Twitter Profile Photo

Te esparo junto con Phillip Cloud en las at PyCon US a las 3.30pm en sala 310. Te contaremos acerca de Ibis Project y va a haber un demo en vivo!

Join me and Phillip Cloud at the at 3.30pm in room 310. We will be talking about Ibis Project and we have a live demo!

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Voltron Data(@VoltronData) 's Twitter Profile Photo

Data transfer is a major bottleneck for many data workloads. Apache Doris recently adapted Arrow Flight SQL, which allows it to leverage the Python ADBC Driver for fast data reading.

This tutorial shows how to do data transmission at scale with Python, JDBC, Java, and Spark. In

Data transfer is a major bottleneck for many data workloads. Apache Doris recently adapted Arrow Flight SQL, which allows it to leverage the Python ADBC Driver for fast data reading. This tutorial shows how to do data transmission at scale with Python, JDBC, Java, and Spark. In
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Andy Pavlo (@andy_pavlo@discuss.systems)(@andy_pavlo) 's Twitter Profile Photo

Columnar file formats like Parquet/ORC are ubiquitous. Our VLDB paper with Xinyu Zeng + Huanchen Zhang + Wes McKinney studies their internals.

TLDR: They're not optimized for modern hardware. Something new is needed.

Paper: vldb.org/pvldb/vol17/p1…
Code: github.com/XinyuZeng/Eval…

Columnar file formats like Parquet/ORC are ubiquitous. Our VLDB paper with @XinyuZeng218 + @huanchenzhang + @wesmckinn studies their internals. TLDR: They're not optimized for modern hardware. Something new is needed. Paper: vldb.org/pvldb/vol17/p1… Code: github.com/XinyuZeng/Eval…
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NVIDIA AI Developer(@NVIDIAAIDev) 's Twitter Profile Photo

Announced at , RAPIDS cuDF is now integrated into Google Colab.

RAPIDS cuDF instantly speeds up pandas code by up to 50x with zero code changes in Colab notebooks.

Read the tech blog: nvda.ws/3JZPVzo

Announced at #GoogleIO, RAPIDS cuDF is now integrated into Google Colab. RAPIDS cuDF instantly speeds up pandas code by up to 50x with zero code changes in Colab notebooks. Read the tech blog: nvda.ws/3JZPVzo
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Matt Harrison(@__mharrison__) 's Twitter Profile Photo

XGBoost is a popular machine learning algorithm that provides excellent performance out of the box for various types of machine learning problems, including regression and classification.

XGBoost is a popular machine learning algorithm that provides excellent performance out of the box for various types of machine learning problems, including regression and classification.
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MotherDuck(@motherduck) 's Twitter Profile Photo

Use one dataframe library and change a single line of code to switch between Snowflake, BigQuery, PySpark, DuckDB, and more!
That's the promise of Ibis!
Mehdi Ouazza and Cody Peterson from Voltron Data will explore its origins and share practical examples.
youtu.be/JNI5_aU2fn4

Use one dataframe library and change a single line of code to switch between Snowflake, BigQuery, PySpark, @duckdb, and more! That's the promise of Ibis! @mehd_io and Cody Peterson from @VoltronData will explore its origins and share practical examples. youtu.be/JNI5_aU2fn4
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Ibis Project(@IbisData) 's Twitter Profile Photo

Join Phillip Cloud for the Maintainers Summit at PyCon US US on May 17th, 11:25am ET. Don’t miss his session “CI madness: testing 20 query engines on every commit.”

Join @cpcloudy for the Maintainers Summit at @pycon US on May 17th, 11:25am ET. Don’t miss his session “CI madness: testing 20 query engines on every commit.” #PyConUS2024 #IbisData
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Voltron Data(@VoltronData) 's Twitter Profile Photo

If you're using DuckDB, come join our discussion today on how you can leverage Ibis to give your DuckDB pipelines even more power.

You can run your local experiments using DuckDB, and deploy to production using Ibis with a single line of code change!

Ibis supports 20+

If you're using DuckDB, come join our discussion today on how you can leverage Ibis to give your @duckdb pipelines even more power. You can run your local experiments using DuckDB, and deploy to production using Ibis with a single line of code change! Ibis supports 20+
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Chip Huyen(@chipro) 's Twitter Profile Photo

Really enjoyed LinkedIn's report on what worked and what didn't when deploying LLM applications. 4 takeaways.

1. Structured outputs
They chose YAML over JSON as the output format because YAML uses less tokens. Initially, only 90% of the outputs are correctly formatted YAML. They

Really enjoyed LinkedIn's report on what worked and what didn't when deploying LLM applications. 4 takeaways. 1. Structured outputs They chose YAML over JSON as the output format because YAML uses less tokens. Initially, only 90% of the outputs are correctly formatted YAML. They
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