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Writing and Querying MapReduce Views in CouchDB

, you'll learn how to use the Futon web administration console and the cURL command line tool that come with CouchDB.* Learn how the Map and;

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Couchdb: The Definitive Guide

. In CouchDB: The Definitive Guide , three of the core developers gently explain how to work with CouchDB, using clear and practical scenarios. Each;

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Scaling Couchdb

A practical guide to web developers who need to scale their CouchDB database instances. The basic concepts behind CouchDB's scalability;

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Getting Started with CouchDB

This concise guide contain everything you need to begin storing and retrieving information through CouchDB. You'll learn the basic of this;

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Getting Started with GEO, CouchDB and Node.js

book, application developers learn how to work with location data quickly and easily, using Node.js, CouchDB, and other open source tools and;

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Hadoop 2 Essentials

This textbook adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast in an easy-to-setup;

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Optimizing Hadoop for MapReduce

, developer, MapReduce user, or beginner, this book is the best choice available if you wish to optimize your clusters and applications. Having prior;

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Big Data with Hadoop MapReduce

The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have;

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Big Data with Hadoop MapReduce

The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have;

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Hadoop Mapreduce V2 Cookbook

About This Book Process large and complex datasets using next generation Hadoop Install, configure, and administer MapReduce programs;

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Hadoop: The Definitive Guide

(including Avro), and persistence * Discover common pitfalls and advanced features for writing real-world MapReduce programs * Design, build, and;

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SQL- a Simple Introduction by Cliff

understanding to the subject of querying Microsoft SQL Server. In addition there are many insights and tips for the beginner SQL Programmer. This book;

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Hadoop in Practice

addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step;

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Seven Databases in Seven Weeks 2e

technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content;

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Learning Big Data with Amazon Elastic MapReduce

This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic;

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Programming MapReduce With Scalding

This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using;

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Programming Elastic MapReduce

(EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for;

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Data-Intensive Text Processing With MapReduce

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting;

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MapReduce Design Patterns

Design patterns for the MapReduce framework, until now, have been scattered among various research papers, blogs, and books. This handy;

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Querying XML

of search: querying XML can produce very precise, fine-grained results, if you know how to express and execute those queries.For;

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Data Algorithms

algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for;

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Seven Databases In Seven Weeks

and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB-both JavaScript powered, document oriented;

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Hadoop: The Definitive Guide

advanced features for writing real-world MapReduce programs * Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud;

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Biomedical Data Management and Graph Online Querying

This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data;

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Hadoop in Action

computing using Hadoop and the Map- Reduce framework. DESCRIPTION Hadoop is an open source implementation of Google's MapReduce;

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Distributed Processing of Large Remote Sensing Images Using Mapreduce

Advances in remote sensing technology and their ever increasing repositories of the collected data are revolutionizing the mechanisms these;

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Large scale data processing in Hadoop MapReduce scenario

. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge;

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