Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new techniques that are perfect for handling modern big data applications.

In Algorithms and Data Structures for Massive Datasets,you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures thatform the backbone of a big data system. Filled with fun illustrations and examples from real-world businesses, you'll learn how each of these complex techniques can be practically applied to maximize the accuracy and throughputof big data processing and analytics.

Modern data-intensive applications are outpacing traditional datastructures and algorithms. Huge data sets rapidly grow beyond available memory,becoming slow and inefficient, and bottle necking development. Fortunately, you don't need to blow your budget on expensive upgrades to your computing power! Algorithmsand Data Structures for Massive Datasets lays out ways to sketch datain main memory and organize data on disk to make the best use of your available resources. Taken from the latest research papers, these effective techniques apply to any discipline, from finance to text analysis.