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

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

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

by Matthew TopolWes McKinney

  • Length: 392 pages
  • Edition: 1
  • Language: English
  • Publisher: Packt Publishing
  • Publication Date: 2022-06-24
  • ISBN-10: 1801071039

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 performance

Key Features

  • Learn about Apache Arrow’s data types and interoperability with pandas and Parquet
  • Work with Apache Arrow Flight RPC, Compute, and Dataset APIs to produce and consume tabular data
  • Reviewed, contributed, and supported by Dremio, the co-creator of Apache Arrow

Book Description

Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.

In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. You’ll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you’ll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you’ll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. 

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