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In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data
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In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data
Accelerate analytics and exchange data easily with Apache Arrow
In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data
物品 #: 56528764

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

89% of respondents would recommend this to a friend

物品 #: 56528764

HKD 704

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Accelerate analytics and exchange data easily with Apache Arrow
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What Stands Out

High Performance
Apache Arrow enables lightning-fast data processing by utilizing in-memory analytics, allowing users to handle large datasets efficiently and reduce query execution times significantly.
Flexible Structure
Supports both flat and hierarchical data structures, making it adaptable for a wide range of data analytics tasks, enhancing usability for diverse industries and data types.
Open-Source Framework
As an open-source platform, Apache Arrow is constantly improved by a thriving community, ensuring that users benefit from continuous updates, enhancements, and a rich ecosystem of tools.

產品詳情

Shop In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data online at a best price in 香港. 1801071039
  • Process tabular data and build high-performance query engines using Apache Arrow
  • Learn about Apache Arrow's data types and interoperability with pandas and Parquet
  • Work with Apache Arrow Flight RPC, Compute, and Dataset APIs for tabular data
  • Reviewed, contributed, and supported by Dremio, the co-creator of Apache Arrow
  • Access and handle data files locally and in the cloud using Apache Arrow libraries
  • Suitable for developers, data analysts, and data scientists working with tabular data
Publisher Packt Publishing
Publication date June 24, 2022
Language English
Print length 392 pages
ISBN-10 1801071039
ISBN-13 978-1801071031
Item Weight 1.48 pounds (670 grams)
Dimensions 7.5 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists needing efficient data processing and analysis with large datasets using modern tools.

  • Business Analysts

    Business analysts benefit from quick data insights and real-time analytics for making informed strategic decisions.

  • Developers

    Developers can leverage the flexibility of Apache Arrow for building high-performance data applications and services.

Not Suitable For
  • Casual Users

    Not suitable for casual users who require simple data analytics without advanced capabilities or technical skills.

產品敘述

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

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  • 題: 如何從 Ubuy 在線購物 In-Memory Analytics with Apache Arrow: Perform fast？

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  • 題: In-Memory Analytics with Apache Arrow: Perform fast 可以在 Hong Kong 在線購物嗎？

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AI & Machine Learning Editorial Review

In-Memory Analytics with Apache Arrow is a well-written and informative book that is developer-centric. It covers the entire ecosystem of in-memory analytics, and the author writes in a language that is easy to understand. The book is interactive, and readers can play around with the technology while reading. It uses diagrams, color-coding, and various programming languages to illustrate its points. The book explains complex concepts such as memory mapping, SIMD, and column-oriented data buffer in simple terms. The book contains very real-world examples that prove how applicable the technology can be. The book has a detailed walkthrough on how to contribute back to Arrow. The book needs improvement in the binding as several pages have slid out of the bindings within a few weeks of purchase.

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優點

  • Well-written and informative
  • Interactive and easy to understand
  • Covers the entire ecosystem of in-memory analytics
  • Uses diagrams, color-coding, and various programming languages to illustrate its points
  • Contains very real-world examples
  • Detailed walkthrough on how to contribute back to Arrow

缺點

  • Binding needs improvement as several pages have slid out of the bindings within a few weeks of purchase.

Product Price History

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HKD 704

現在訂購，約可在下列時間收貨： 星期四, 十月 15

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  • fedex
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特色和優勢

  • Perform fast and efficient data analytics
  • Process tabular data and build high-performance query engines
  • Learn about Apache Arrow's interoperability with pandas and Parquet
  • Work with Arrow Flight RPC, Compute, and Dataset APIs
  • Reviewed, contributed, and supported by Dremio, the co-creator of Apache Arrow
  • Create useful, efficient, and powerful analytical services and utilities with Apache Arrow

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Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.