What Is Apache Arrow? Explained by Matt Topol | Dremio
What is Apache Arrow—and why is it revolutionizing in-memory analytics? In this session from Subsurface, Matt Topol (author of the first book on Apache Arrow and engineer at Voltron Data) breaks down Arrow’s purpose, architecture, and use cases. In this video, you'll learn: How Apache Arrow enables fast, columnar in-memory data processing When to use Arrow vs. Parquet, ORC, Protobuf, JSON, or CSV Arrow’s benefits for real-time analytics, data pipelines, and cross-language efficiency Why it's a key building block for modern data lakehouse architectures Whether you're working with streaming data, building query engines, or optimizing pipelines, this is your primer on Arrow’s role in the future of open analytics. Explore more data lakehouse content at: ▶ https://www.dremio.com/subsurface
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