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Perform fast and efficient data analytics on both flat and hierarchical structured data

In-Memory Analytics with Apache Arrow

<span xml:lang="en">In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data</span>

Topol, Matthew

McKinney, Wes

Process tabular data and build high-performance query engines on modern CPUs and GPUs using Apache Arrow, a standardized language-independent memory format, for optimal performanceKey FeaturesLearn about Apache Arrow's data types and interoperability with pandas and ParquetWork with Apache Arrow Flight RPC, Compute, and Dataset APIs to produce and consume tabular dataReviewed, contributed, and supported by Dremio, the co-creator of Apache ArrowBook DescriptionApache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.

Process tabular data and build high-performance query engines on modern CPUs and GPUs using Apache Arrow, a standardized language-independent memory...

In-Memory Analytics with Apache Arrow: Perform fast and...

In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data

Format

In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data

Matthew Topol

Wes McKinney

Matthew Topol

Wes McKinney

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