Fast and Scalable Analytics with Apache Arrow: Expert Insights & Examples

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Description

In this video, Matt Topol and Jacek Soubusta discuss the ins and outs of Apache Arrow.

Widely adopted by projects like Apache DataFusion, ClickHouse, Polars, and pandas, Apache Arrow enables high-performance data processing and seamless interoperability. Beyond the columnar format, the Arrow ecosystem introduces innovative frameworks like Apache Arrow Flight, revolutionizing data service integration with unmatched efficiency.

Matt Topol, author of In-Memory Analytics with Apache Arrow: Perform Fast and Efficient Data Analytics on Both Flat and Hierarchical Structured Data, will discuss the Arrow format and internal memory layout.

Distinguished Engineer, Jan Soubusta will then dive into a real-life use case of Arrow in action. Jan will discuss how GoodData leverages the Arrow ecosystem to elevate the GoodData analytics platform and designed the core of the implementation to be GoodData-agnostic, making it versatile and adaptable for various use cases.

Meet the speakers

Jan Soubusta

Field CTO in Engineering: Product
GoodData

As Field CTO at GoodData, Jan brings over a decade of experience in backend systems, databases, and cloud-native architectures. His background spans data warehouse operations, large-scale platform engineering, and applied generative AI. Jan has led multiple major long-term projects at GoodData, including the delivery of our data warehouse-as-a-service built on Vertica as well as the ground-up design and development of our next-generation analytics platform. Today, he splits his time between driving product innovation (particularly in the area of AI assisted BI) and representing GoodData in the field — through conferences, articles, and conversations with customers and partners.

Matt Topol

Apache Arrow PMC & Author

Matt is a member of the Apache Arrow PMC, frequently enhancing the Golang library among other enhancements and helping to grow the Arrow Community. A few years ago, Matt joined Voltron Data in order to work on the Apache Arrow libraries full time and grow the Arrow Golang community.

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