Apache Arrow Explained by Voltron Data's Matt Topol - Subsurface

Apache Arrow is a powerful and efficient tool for data storage and processing. In this video, Matt Topol - the author of the first book on Apache Arrow - explains exactly what it is, why you should use it and what are the best use cases for it. Learn when to choose Arrow over message passing formats like Protobuf or JSON, or storage formats like Apache Parquet, Apache ORC or CSV. Apache Arrow provides tools to optimize memory usage for better performance.
If you’re looking for more information about data lakehouse solutions, head to Dremio’s Subsurface page. There you can find content about data lakehouses, data warehouses and data lake engines. If you would like to stay up to date with all of Subsurface’s events and content, join their meetup community at www.meetup.com/subsurface-glo....
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[@multitaskprueba1]

You are a genius! Fantastic explanations! Thanks!

[@jchidley]

Good explanation of what arrow is and what it is used for

[@chrajeshdagur]

Apache Arrow is an in-memory representation of data to avoid copying for repeated serialization and deserialization.

[@ecmiguel]

Great!!!

[@rkeval1]

How filters on data will work in arrow as it is columnar db?

[@stripedfbds]

It's a shame, really: the explanation is good and the topic is interesting, but the sound quality is absolutely atrocious. Sometimes it's difficult to even distinguish which tech is he referencing...