Probabilistic Data Structures and Algorithms for Big Data Applications
A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.
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Probabilistic Data Structures and Algorithms for Big Data Applications
A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.
51.5 In Stock
Probabilistic Data Structures and Algorithms for Big Data Applications

Probabilistic Data Structures and Algorithms for Big Data Applications

by Andrii Gakhov
Probabilistic Data Structures and Algorithms for Big Data Applications

Probabilistic Data Structures and Algorithms for Big Data Applications

by Andrii Gakhov

Paperback

$51.50 
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Overview

A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.

Product Details

ISBN-13: 9783748190486
Publisher: Bod - Books on Demand
Publication date: 08/05/2022
Pages: 220
Product dimensions: 5.83(w) x 8.27(h) x 0.50(d)
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