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An Architecture for Fast and General Data Processing on Large Clusters

of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data;

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An Architecture for Fast and General Data Processing on Large Clusters

of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data;

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Data-Intensive Text Processing With MapReduce

computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model;

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Algorithmic Aspects of Parallel Data Processing

The last decade has seen a huge and growing interest in processing large data sets on large distributed clusters. This trend began with the;

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Fast Data Processing Systems with SMACK Stack

developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the;

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OpenStack Sahara Essentials

, how to develop applications for Elastic Data Processing on Openstack, and setting up hadoop or spark clusters on Openstack. Style and;

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Biologically Inspired Electronics for Micropower Vision Processing

effectively. For example, the human retina; an exquisite sheet of neurobiological wetware, is amongst the most powerful and efficient vision;

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Learning YARN

. This book starts with an overview of the YARN features and explains how YARN provides a business solution for growing big data needs. You will;

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Scalable Big Data Architecture

Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every;

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Big Data Processing With Hadoop

applications, internet usage is on the rise. With so many users and such a large amount of data, the requirements of analyzing large data sets leads to;

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Large-Scale Graph Processing Using Apache Giraph

describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at;

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Hbase in Action

system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales;

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Big Data 2.0 Processing Systems

scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data;

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Big Data 2.0 Processing Systems

scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data;

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Distributed and Parallel Computing

profit, lower costs of design and production by using parallel and distributed processing on clusters. In general to achieve these goals;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Mastering Mesos

works with * This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve;

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Databook of Antiblocking, Release, and Slip Additives

The Databook of Antiblocking, Release, and Slip Additives contains detailed information on over 300 important additives for polymers;

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MongoDB Fundamentals

Learn how to deploy and monitor databases in the cloud, manipulate documents, visualize data, and build applications running on MongoDB;

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Programming Pig

This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps you describe and run large data;

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Databook of Antiblocking, Release, and Slip Additives

features and benefits. Contains the most extensive data available on a large number of antiblocking, release and slip additives for;

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Event Streams in Action

sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII

Mismatch in Big Data Analytics; A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence;

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Apache Kafka Quick Start Guide

get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the;

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High efficiency real-time sensor/actuator control and data processing

. A real-time approach for data analysis requires the realization of interconnected modules which are capable to establish an efficient;

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Nondestructive Testing for Archaeology and Cultural Heritage: A Practical Guide and New Perspectives

, while also introducing a new technique and algorithm for data acquisition and processing. A large section of the book is devoted to actual on;

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