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 https://www.meetup.com/subsurface-glo....

Connect with us!

Twitter: https://bit.ly/30pcpE1
LinkedIn: https://bit.ly/2PoqsDq
Facebook: https://bit.ly/2BV881V
Community Forum: https://bit.ly/2ELXT0W
Github: https://bit.ly/3go4dcM
Blog: https://bit.ly/2DgyR9B
Questions?: https://bit.ly/30oi8tX
Website: https://bit.ly/2XmtEnN