# Apache Arrow
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apache arrow is a language-agnostic software framework for developing data analytics applications that process columnar data. It contains a standardized column-oriented memory format that is able to represent flat and hierarchical data for efficient analytic operations on modern CPU and GPU hardware. This reduces or eliminates factors that limit the feasibility of working with large sets of data, such as the cost, volatility, or physical constraints of dynamic random-access memory.
Apache Arrow
Apache Arrow is an in-memory data structure for use by engineers for building data systems.
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Episode 39: Apache Arrow
Apache Arrow is a cross-language development platform for in-memory data.
It supports zero-copy streaming messaging and has support for a number of
languages, including C, C++, Python, R, Rust, and many others.
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Julien Le Dem: Why Data Lineage Matters
Julien has a unique history of building open frameworks that make data platforms interoperable. He's contributed in various ways to Apache Arrow, Apache Iceberg, Apache Parquet, and Marquez, and is currently leading OpenLineage, an open framework for data lineage collection and analysis.
In this e…
Enable Faster Data Processing and Access with Apache Arrow with Matt Topol @ Factset
In this episode we speak with Matt Topol, Vice President, Principal Software Architect @ FactSet and dive deep into how they are taking advantage of Apache Arrow for faster processing and data access.
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Apache Arrow is an open-source in-memory columnar format that c…
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