Probabilistic Data Structures and Algorithms for Big Data Applications
| Author | : Andrii Gakhov |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 224 |
| Release | : 2022-08-05 |
| ISBN-10 | : 9783748190486 |
| ISBN-13 | : 3748190484 |
| Rating | : 4/5 (484 Downloads) |
Download or read book Probabilistic Data Structures and Algorithms for Big Data Applications written by Andrii Gakhov and published by BoD – Books on Demand. This book was released on 2022-08-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
