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Data-Intensive Computing: Architectures, Algorithms, and Applications

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The world is awash with digital data from social networks, blogs, business, science, and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms, and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art, and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud, and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.

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Taming Text: How to Find, Organize, and Manipulate It
Taming Text: How to Find, Organize, and Manipulate It

Summary

Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition,...

Introducing Go: Build Reliable, Scalable Programs
Introducing Go: Build Reliable, Scalable Programs

Perfect for beginners familiar with programming basics, this hands-on guide provides an easy introduction to Go, the general-purpose programming language from Google. Author Caleb Doxsey covers the language’s core features with step-by-step instructions and exercises in each chapter to help you practice what you learn.

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Systems Programming: Designing and Developing Distributed Applications
Systems Programming: Designing and Developing Distributed Applications

Systems Programming: Designing and Developing Distributed Applications explains how the development of distributed applications depends on a foundational understanding of the relationship among operating systems, networking, distributed systems, and programming. Uniquely organized around four viewpoints (process, communication,...


Network Analysis Using Wireshark Cookbook
Network Analysis Using Wireshark Cookbook

This book will be a massive ally in troubleshooting your network using Wireshark, the world's most popular analyzer. Over 100 practical recipes provide a focus on real-life situations, helping you resolve your own individual issues.

Overview

  • Place Wireshark in your network and configure it for...
Error Correction Coding: Mathematical Methods and Algorithms
Error Correction Coding: Mathematical Methods and Algorithms
An unparalleled learning tool and guide to error correction coding

Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of...

A Book on C: Programming in C (4th Edition)
A Book on C: Programming in C (4th Edition)

Beginners and professional programmers alike will benefit from the numerous examples and extensive exercises developed to guide readers through each concept. Step-by-step dissections of program code illuminate the correct usage and syntax of C language constructs and reveal the underlying logic of their application. The clarity of exposition...

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