Apache Arrow Meetup SF: Learn In Theory & In Practice

Apache Arrow: In Theory, In Practice // Apache Arrow Meetup SF
Are you curious to learn more about the industry standard for columnar, in-memory analytics known as Apache Arrow? Watch this presentation from the Apache Arrow SF Meetup event featuring Dremio CTO, Jacques Nadeau. This meetup provides a comprehensive overview of the history and origin of Apache Arrow, its theoretical and practical applications, and how Dremio is the first and only query execution engine built from the ground up to take advantage of it.
Apache Arrow is an in-memory columnar data format designed to accelerate analytics and data processing workflows. It is designed to enable efficient exchange of data between systems, with a focus on analytical workloads. By utilizing the Arrow format for data storage and interchange, organizations can increase their overall performance when working with large datasets across multiple systems.
Dremio’s Data Lakehouse platform leverages Apache Arrow to provide real-time analytics capabilities that are five times faster than existing solutions. The Data Lakehouse platform combines traditional Data Warehouse technologies with modern Data Lake technologies into a single platform that allows customers to quickly analyze large amounts of data without having to move it into a separate system or query engine. With this platform, organizations can access their data faster and more efficiently than ever before.
The “Apache Arrow: In Theory, In Practice” presentation by Jacques Nadeau will give you a better understanding of how this technology works in practice and how it can be used to optimize your organization's analytics capabilities. Learn more about its history and origin by watching this informative presentation at the Apache Arrow SF Meetup event today!
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[@Shravan40]

Great Stuff is being done by the Apache Arrow team :)

[@maa1dz1333q2eqER]

Great job, thanks.

[@NdamuleloNemakh]

Cool tech!

[@familyshare3724]

Would be nice to also have an internal and transport representation of hierarchical data, to replace xml, json. Elegant back/forward versioning, deprecation, validation, and defaults would be killer.

[@vincentchee4108]

avro?

[@theuncle3961]

Nice talk