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Episode 103. Let's share data cross-language with Apache Arrow! (among other things)

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Manage episode 407675996 series 2852088
Content provided by Freddy Guime and Bob Paulin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Freddy Guime and Bob Paulin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We have a great time talking to Matt Topol from Voltron Data on one of his Apache Software Foundation projects called Apache Arrow. It's both a spec and implementation of a columnar data format that is not only efficient, but cross-language compatible. We walk through the scenarios that it covers and how is becoming more and more pivotal for things like ML and LLMs. So come listen to this JPH episode on one of the best and free ways to distribute data and integrate services working on top of that data!

http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode

Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ - Apache Arrow Project (https://arrow.apache.org/) - Java implementation (https://arrow.apache.org/docs/java/index.html) - In-Memory Analytics with Apache Arrow (https://www.oreilly.com/library/view/in-memory-analytics-with/9781801071031/) - Matt Topol X (Twitter!) Account (https://twitter.com/zeroshade) - Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer

And Follow us! https://www.twitter.com/javapubhouse

  continue reading

106 episodes

Artwork
iconShare
 
Manage episode 407675996 series 2852088
Content provided by Freddy Guime and Bob Paulin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Freddy Guime and Bob Paulin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

We have a great time talking to Matt Topol from Voltron Data on one of his Apache Software Foundation projects called Apache Arrow. It's both a spec and implementation of a columnar data format that is not only efficient, but cross-language compatible. We walk through the scenarios that it covers and how is becoming more and more pivotal for things like ML and LLMs. So come listen to this JPH episode on one of the best and free ways to distribute data and integrate services working on top of that data!

http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode

Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ - Apache Arrow Project (https://arrow.apache.org/) - Java implementation (https://arrow.apache.org/docs/java/index.html) - In-Memory Analytics with Apache Arrow (https://www.oreilly.com/library/view/in-memory-analytics-with/9781801071031/) - Matt Topol X (Twitter!) Account (https://twitter.com/zeroshade) - Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer

And Follow us! https://www.twitter.com/javapubhouse

  continue reading

106 episodes

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