CouchDB: The Definitive Guide
CouchDB: The Definitive Guide

Author: J. Chris Anderson

Publisher: "O'Reilly Media, Inc."

Published: 2010-01-19

Total Pages: 274

ISBN-13: 1449382932

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Three of CouchDB's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. With its simple model for storing, processing, and accessing data, CouchDB is ideal for web applications that handle huge amounts of loosely structured data. That alone would stretch the limits of a relational database, yet CouchDB offers an open source solution that's reliable, scales easily, and responds quickly. CouchDB works with self-contained data that has loose or ad-hoc connections. It's a model that fits many real-world items, such as contacts, invoices, and receipts, but you'll discover that this database can easily handle data of any kind. With this book, you'll learn how to work with CouchDB through its RESTful web interface, and become familiar with key features such as simple document CRUD (create, read, update, delete), advanced MapReduce, deployment tuning, and more. Understand the basics of document-oriented storage and manipulation Interact with CouchDB entirely though HTTP using its RESTful interface Model data as self-contained JSON documents Handle evolving data schemas naturally Query and aggregate data in CouchDB using MapReduce views Replicate data between nodes Tune CouchDB for increased performance and reliability

Getting Started with CouchDB
Getting Started with CouchDB

Author: Martin C. Brown

Publisher: "O'Reilly Media, Inc."

Published: 2012

Total Pages: 83

ISBN-13: 1449307558

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CouchDB is a new breed of database for the Internet, geared to meet the needs of today's dynamic web applications. With this concise introduction, you'll learn how CouchDB's simple model for storing, processing, and accessing data makes it ideal for the type of data and rapid response users now demand from your applications--and how easy CouchDB is to set up, deploy, maintain, and scale. The code-packed examples in this book will help you learn how to work with documents, populate a simple database, replicate data from one database to another, and a host of other tasks. Install CouchDB on Linux, Mac OS X, Windows, or (if you must) from the source code Interact with data through CouchDB's RESTful API, and use standard HTTP operations, such as PUT, GET, POST, and DELETE Use Futon--CouchDB's web-based interface-- to manage databases and documents, and to configure replications Learn how to create, update, and delete documents in JSON format, and how to create and delete databases Work with design documents to get the formatting and indexing your application requires

Beginning CouchDB
Beginning CouchDB

Author: Joe Lennon

Publisher: Apress

Published: 2010-10-22

Total Pages: 300

ISBN-13: 9781430269663

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The new world of cloud computing needs data storage. CouchDB is the scalable, portable, simple database engine that is helping open source cloud architects put their data stores onto a firm foundation. Beginning CouchDB provides the tools to begin using this very powerful database engine without having to pay license fees for the software, or worry about administrator's certifications or vast hardware requirements. This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch. After reading this book and working through the examples, you'll be able to write your own applications for CouchDB quickly and easily. In-depth, non-intimidating guide to CouchDB and how it differs from similar offerings such as SimpleDB and BigTable, and also how it differs from traditional relational and object-oriented databases such as Oracle, SQL Server, and MySQL. Detailed explanation of how CouchDB works, its suitability for use in distributed environments, the role of Erlang, and other technical topics in a manner that does not obfuscate methods or results. JavaScript is extremely popular as a development language for CouchDB. No Erlang is required, but a little bit can't hurt either. A tutorial-oriented approach to teaching readers how to use CouchDB, featuring many code examples and listings, as well as screenshots where relevant.

Seven Databases in Seven Weeks
Seven Databases in Seven Weeks

Author: Luc Perkins

Publisher: Pragmatic Bookshelf

Published: 2018-04-05

Total Pages: 430

ISBN-13: 1680505971

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Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter. While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive. With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

Web Operations
Web Operations

Author: John Allspaw

Publisher: "O'Reilly Media, Inc."

Published: 2010-06-21

Total Pages: 340

ISBN-13: 1449394159

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A web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime. It's the expertise you need when your start-up gets an unexpected spike in web traffic, or when a new feature causes your mature application to fail. In this collection of essays and interviews, web veterans such as Theo Schlossnagle, Baron Schwartz, and Alistair Croll offer insights into this evolving field. You'll learn stories from the trenches--from builders of some of the biggest sites on the Web--on what's necessary to help a site thrive. Learn the skills needed in web operations, and why they're gained through experience rather than schooling Understand why it's important to gather metrics from both your application and infrastructure Consider common approaches to database architectures and the pitfalls that come with increasing scale Learn how to handle the human side of outages and degradations Find out how one company avoided disaster after a huge traffic deluge Discover what went wrong after a problem occurs, and how to prevent it from happening again Contributors include: John Allspaw Heather Champ Michael Christian Richard Cook Alistair Croll Patrick Debois Eric Florenzano Paul Hammond Justin Huff Adam Jacob Jacob Loomis Matt Massie Brian Moon Anoop Nagwani Sean Power Eric Ries Theo Schlossnagle Baron Schwartz Andrew Shafer

Getting Started with GEO, CouchDB, and Node.js
Getting Started with GEO, CouchDB, and Node.js

Author: Mick Thompson

Publisher: "O'Reilly Media, Inc."

Published: 2011-07-22

Total Pages: 67

ISBN-13: 1449315453

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Today's mobile devices have GPS and standard APIs to give you access to coordinates—but what can you do with that data? With this concise book, application developers learn how to work with location data quickly and easily, using Node.js, CouchDB, and other open source tools and libraries. Node.js makes it simple to run event code on the Web, and the CouchDB document-oriented database lets you store location data and perform complex queries on it quickly. You'll learn how to get started with these tools, and then use them together to build an example project called MapChat, using HTML and JavaScript code samples. Learn how to serve dynamic content with Node.js, and use its asynchronous IO to handle several requests at once Become familiar with GeoJSON, Geohash, and the Geospatial Data Abstraction Library (GDAL) for working with spatial data Build geospatial indexes using the GeoCouch branch of CouchDB Combine these tools to build a project that lets users post real-time chat messages tagged with their current map location

A Deep Dive into NoSQL Databases: The Use Cases and Applications
A Deep Dive into NoSQL Databases: The Use Cases and Applications

Author:

Publisher: Academic Press

Published: 2018-04-20

Total Pages: 402

ISBN-13: 0128137878

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A Deep Dive into NoSQL Databases: The Use Cases and Applications, Volume 109, the latest release in the Advances in Computers series first published in 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth. This update includes sections on NoSQL and NewSQL databases for big data analytics and distributed computing, NewSQL databases and scalable in-memory analytics, NoSQL web crawler application, NoSQL Security, a Comparative Study of different In-Memory (No/New)SQL Databases, NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more. - Provides a very comprehensive, yet compact, book on the popular domain of NoSQL databases for IT professionals, practitioners and professors - Articulates and accentuates big data analytics and how it gets simplified and streamlined by NoSQL database systems - Sets a stimulating foundation with all the relevant details for NoSQL database researchers, developers and administrators

BIG DATA ANALYTICS
BIG DATA ANALYTICS

Author: THANGARAJ, M.

Publisher: PHI Learning Pvt. Ltd.

Published: 2022-04-01

Total Pages: 416

ISBN-13: 9391818374

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Designed for the students of B.E./B.Tech (Computer Science and Engineering/IT), M.Sc (Computer Science), MCA, and M.Sc (Data Science), this textbook mainly focuses on issues and solutions concerned with data explosion problems. Without the prior knowledge of database world, the reader of this book can easily understand the evolution of database technology in handling big data. With a focus on the analytical theory to handle high dimensional data, this text also presents illustrations using analytical tool R. The role of real-time system architecture and platforms, Hadoop ecosystem components and NoSQL database MongoDB to handle big data is also elaborated. Each chapter ends with exercise problems and multiple-choice questions, which will motivate the readers to further analyse the applicability of concepts. DISTINCTIVE FEATURES • Worked out coding using R and MongoDB and related questions using these platforms • Various analytical techniques with sample data (such as clustering, classification, rough set theory, association rules) • Basics of real-time processing, issues and remedies • Several types of data, including time-series data, correlations among data and remedial techniques to handle the issues raised in the underlying domain • Case studies/examples for in-depth understanding among the students TARGET AUDIENCE • B.E./B.Tech (Computer Science and Engineering/IT) • M.Sc (Computer Science/Data Science) • MCA

Big Data Analytics
Big Data Analytics

Author: V. B. Aggarwal

Publisher: Springer

Published: 2017-10-03

Total Pages: 742

ISBN-13: 9811066205

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This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.