Description: In-Memory Analytics with Apache Arrow by Matthew Topol, Wes McKinney Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Harness the power of Apache Arrow to optimize tabular data processing and develop robust, high-performance data systems with its standardized, language-independent columnar memory formatKey FeaturesExplore Apache Arrows data types and integration with pandas, Polars, and ParquetWork with Arrow libraries such as Flight SQL, Acero compute engine, and Dataset APIs for tabular dataEnhance and accelerate machine learning data pipelines using Apache Arrow and its subprojectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionApache Arrow is an open source, columnar in-memory data format designed for efficient data processing and analytics. This book harnesses the authors 15 years of experience to show you a standardized way to work with tabular data across various programming languages and environments, enabling high-performance data processing and exchange.This updated second edition gives you an overview of the Arrow format, highlighting its versatility and benefits through real-world use cases. It guides you through enhancing data science workflows, optimizing performance with Apache Parquet and Spark, and ensuring seamless data translation. Youll explore data interchange and storage formats, and Arrows relationships with Parquet, Protocol Buffers, FlatBuffers, JSON, and CSV. Youll also discover Apache Arrow subprojects, including Flight, SQL, Database Connectivity, and nanoarrow. Youll learn to streamline machine learning workflows, use Arrow Dataset APIs, and integrate with popular analytical data systems such as Snowflake, Dremio, and DuckDB. The latter chapters provide real-world examples and case studies of products powered by Apache Arrow, providing practical insights into its applications.By the end of this book, youll have all the building blocks to create efficient and powerful analytical services and utilities with Apache Arrow.What you will learnUse Apache Arrow libraries to access data files, both locally and in the cloudUnderstand the zero-copy elements of the Apache Arrow formatImprove the read performance of data pipelines by memory-mapping Arrow filesProduce and consume Apache Arrow data efficiently by sharing memory with the C APILeverage the Arrow compute engine, Acero, to perform complex operationsCreate Arrow Flight servers and clients for transferring data quicklyBuild the Arrow libraries locally and contribute to the communityWho this book is forThis book is for developers, data engineers, and data scientists looking to explore the capabilities of Apache Arrow from the ground up. Whether youre building utilities for data analytics and query engines, or building full pipelines with tabular data, this book can help you out regardless of your preferred programming language. A basic understanding of data analysis concepts is needed, but not necessary. Code examples are provided using C++, Python, and Go throughout the book. Author Biography 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, Matts 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. Details ISBN 1835461220 ISBN-13 9781835461228 Title In-Memory Analytics with Apache Arrow Author Matthew Topol, Wes McKinney Format Paperback Year 2024 Pages 406 Edition 2nd Publisher Packt Publishing Limited GE_Item_ID:161471235; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 58.04 USD
Location: Fairfield, Ohio
End Time: 2025-01-24T14:52:20.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781835461228
Book Title: In-Memory Analytics with Apache Arrow
Language: English
Publication Name: In-Memory Analytics with Apache Arrow : Accelerate Data Analytics for Efficient Processing of Flat and Hierarchical Data Structures
Publisher: Packt Publishing, The Limited
Subject: General, Data Processing
Publication Year: 2024
Type: Textbook
Author: Matthew Topol
Item Length: 92.5 in
Subject Area: Mathematics, Computers
Item Width: 75 in
Format: Trade Paperback
