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Apache Arrow

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May 1, 2024 4 minute read

Apache Arrow is a modern open-source project that provides a software library for in-memory columnar data. Arrow handles dense columnar data structures in-memory and can efficiently store data in a columnar format. It offers language bindings for C++, Python, R, C#, Java, JavaScript (Node.js), Ruby, and Scala.

Why Learn Apache Arrow?

Apache Arrow is widely adopted in various industries, including data engineering, data analytics, and machine learning. Here are some reasons to learn Apache Arrow:

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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Apache Arrow.

Advanced Analytics with PySpark

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Offers a practical and hands-on approach to using Apache Arrow, with a focus on performance optimization and real-world data processing scenarios.

Advanced Analytics with PySpark: Patterns for...

Paperback

Advanced Analytics with PySpark

Kindle Edition

In-Memory Analytics with Apache Arrow

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Provides a collection of recipes and solutions to common problems encountered when using Apache Arrow, offering guidance on best practices and performance tuning.

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

Paperback

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

Kindle Edition

Architecting Modern Data Platforms

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Focuses on integrating Apache Arrow with Hadoop and other big data technologies, providing guidance on data processing and analysis at scale.

Architecting Modern Data Platforms: A Guide to...

Paperback

$$$

Architecting Modern Data Platforms: A Guide to...

Kindle Edition

$$$

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