Artwork

Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

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

1:32:26
 
Compartir
 

Manage episode 407738530 series 8374
Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

108 episodios

Artwork
iconCompartir
 
Manage episode 407738530 series 8374
Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

108 episodios

Alle episoder

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida