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

Matthew Topol

10 évaluations par Goodreads

Langue : anglais

Edité par Packt Publishing, 2022

1801071039 / 9781801071031

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A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 performanceKey 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 ArrowBook 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. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve.By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.What You Will Learn: Use Apache Arrow libraries to access data files both locally and in the cloud Understand the zero-copy elements of the Apache Arrow format Improve read performance by memory-mapping files with Apache Arrow Produce or consume Apache Arrow data efficiently using a C API Use the Apache Arrow Compute APIs to perform complex operations Create Arrow Flight servers and clients for transferring data quickly Build the Arrow libraries locally and contribute back to the communityWho this book is for:This book is for developers, data analysts, and data scientists looking to explore the capabilities of Apache Arrow from the ground up. This book will also be useful for any engineers who are working on building utilities for data analytics and query engines, or otherwise working with tabular data, regardless of the programming language. Some familiarity with basic concepts of data analysis will help you to get the most out of this book but isn't required. Code examples are provided in the C++, Go, and Python programming languages.Table of Contents Getting Started with Apache Arrow Working with Key Arrow Specifications Data Science with Apache Arrow Format and Memory Handling Crossing the Language Barrier with the Arrow C Data API Leveraging the Arrow Compute APIs Using the Arrow Datasets API Exploring Apache Arrow Flight RPC Powered By Apache Arrow How to Leave Your Mark on Arrow Future Development and Plans.…

N° de réf. du vendeur 9781801071031

Titre
In-Memory Analytics with Apache Arrow : Perform fast and efficient data analytics on both flat and hierarchical structured data
Auteur
Matthew Topol
Éditeur
Packt Publishing
Année de publication
2022
État de l'article
Neu
Reliure
Taschenbuch
Langue
anglais
ISBN à 10 chiffres
1801071039
ISBN à 13 chiffres
9781801071031
Poids de l'article
730 grammes
Dimensions
235x191x21 mm

AHA-BUCH GmbH

Einbeck, Allemagne

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 14 août 2006

Frais d'expédition de Allemagne vers Etats-Unis

Article7 à 10 jours ouvrés5 à 7 jours ouvrés
Premier articleEUR 35,00EUR 45,00
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