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Home > Computing and Information Technology Books > Databases > In-Memory Analytics with Apache Arrow: Accelerate data analytics for efficient processing of flat and hierarchical data structures
In-Memory Analytics with Apache Arrow: Accelerate data analytics for efficient processing of flat and hierarchical data structures

In-Memory Analytics with Apache Arrow: Accelerate data analytics for efficient processing of flat and hierarchical data structures


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About the Book

No detailed description available for "In-Memory Analytics with Apache Arrow".

Table of Contents:
Table of Contents

  1. Getting Started with Apache Arrow
  2. Working with Key Arrow Specifications
  3. Format and Memory Handling
  4. Crossing the Language Barrier with the Arrow C Data API
  5. Acero: A Streaming Arrow Execution Engine
  6. Using the Arrow Datasets API
  7. Exploring Apache Arrow Flight RPC
  8. Understanding Arrow Database Connectivity (ADBC)
  9. Using Arrow with Machine Learning Workflows
  10. Powered by Apache Arrow
  11. How to Leave Your Mark on Arrow
  12. Future Development and Plans


About the Author :
Topol Matthew :

Matthew Topol is a member of the Apache Arrow Project Management Committee (PMC) and a staff software engineer at Voltron Data, Inc. Matt has worked in infrastructure, application development, and large-scale distributed system analytical processing for financial data. At Voltron Data, Matt's primary responsibilities have been working on and enhancing the Apache Arrow libraries and associated sub-projects. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented fantasy games for his victims—er—friends, and share his knowledge and experience with anyone interested enough to listen.


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Product Details
  • ISBN-13: 9781835469682
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • No of Pages: 406
  • ISBN-10: 183546968X
  • Publisher Date: 13 Jan 2025
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: Accelerate data analytics for efficient processing of flat and hierarchical data structures


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