If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB’s large, distributed datasets. You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct. To work with these different views, 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 Reduce steps work independently and together to index your data Use the example database to create several temporary views based on different criteria Discover the uses of Map and Reduce JavaScript functions Convert your temporary views to permanent views within a design document Learn several options for querying the data within your views Limit the number of results returned, skip some results, or reverse the order of the output Group your results by exact keys or by parts of keys Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.

If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB’s large, distributed datasets. You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct. To work with these different views, 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 Reduce steps work independently and together to index your data Use the example database to create several temporary views based on different criteria Discover the uses of Map and Reduce JavaScript functions Convert your temporary views to permanent views within a design document Learn several options for querying the data within your views Limit the number of results returned, skip some results, or reverse the order of the output Group your results by exact keys or by parts of keys Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.

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

Get your PHP application from conception to deployment by leveraging CouchDB's robust features with this book and ebook.

Big Data: when the size and performance requirements for data management become significant design and decision factors for implementing a data management and analysis system. For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration,

This book constitutes the refereed conference proceedings of the 20th International Workshop on Functional and Constraint Logic Programming, WFLP 2011, held in Odense, Denmark, in July 2011 as Part of the 13th International Symposium on Principles and Practice of Declarative Programming (PPDP 2011), the 22st International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2011), and the 4th International Workshop on Approaches and Applications of Inductive Programming (AAIP 2011). From the 10 papers submitted, 9 were accepted for presentation the proceeding. The papers cover current research in all areas of functional and logic programming as well as the integration of constraint logic and object-oriented programming, and term rewriting.

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.

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

Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.

Managing Unstructured Data: NoSQL Database Essentials-is a reference book and guide for teaching and reading skills to college faculty and students. In Chapter1 the fundamentals of database and relational data base are discussed. This chapter helps students to understand data management concepts by data modelling, schema design, data storage and retrieval. This chapter includes the foundational skills that are applicable across various industries and provides a stepping stone for further specialization and career development. The chapter 2 is all about unstructured data. Varying methods for managing, analysing, and storing data are needed for varying levels of organization and complexity, which are represented by structured, unstructured, and semi-structured data. This chapter provides a platform for students to understand the transition from structured to unstructured data in terms of data management and analysis and it is a pivotal aspect of modern data management. In chapter 3 concepts of NoSQL data base and the major differences with SQL & Relational data bases are highlighted. This chapter explains the adoptions of NoSQL with flexible schema, scalability, high performance and support for distributed architecture. Chapter 4 is all about NoSQL databases, or "Not Only SQL" databases which represent a diverse set of database technologies designed to address specific challenges not well served by traditional relational databases. A brief overview of the main types of NoSQL databases are discussed here. The four basic data models such as key-value pairs, document-oriented, columnar, and graph-based structures are represented in this chapter. Information on popular NoSQL database technologies is given in chapter 5. Details of technologies like Apache HBase, Apache CouchDB, Neo4j, Apache Cassandra and their comparison are also provided here. It includes the distributed architecture with fault tolerance, high availability, and disaster recovery capabilities for ensuring data integrity and business continuity. Chapter 6 discusses the overview of Mongo DB which is a document-oriented NoSQL database known for its flexibility, scalability, and ease of use. The features of Mongo DB including document store, MongoDB protocol, horizontal scalability, cross platform compatibility, replication and sharding are also covered here. Chapter 7 deals with Concurrency control in databases. It discusses about the methods to obtain concurrency in structured data, and then in unstructured data, challenges in concurrency control for unstructured data, commits in transaction and the different isolation levels. Chapter 8 discusses on how unstructured data are used in big data processing. It includes Query processing performance evaluation in big data systems, the types od dirty data. Data cleansing is explained in detail with the steps in cleansing, exploratory data analysis, and data visualization. Hope this book on Managing Unstructured Data: NoSQL Database Essentials will provide a handy and useful reference book for teachers and students on Unstructured Database.