InfoQ Homepage NoSQL Content on InfoQ
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Interview and Book Review: NoSQL Distilled
InfoQ spoke with both authors of the book, Pramod and Martin Fowler about NoSQL database space, the emerging trends in NoSQL.
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The State of NoSQL
Stefan Edlich, Senior Lecturer at Beuth HS of Technology Berlin, Germany, reviews NoSQL, considering its evolution, financial impact, the standards or their lack of, the current landscape, books, the leaders and some newcomers, concluding that NoSQL is here to stay.
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The Architecture of Datomic
Rich Hickey, the author of Clojure, explains the architecture of Datomic - a new database designed as a composition of simple services, combining the capabilities of RDBMS and scalability of NoSQL.
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Julien Nioche on Apache Nutch 2 Features and Product Roadmap
Open source web-search framework Apache Nutch version 2 supports large scale crawling, link-graph database and HTML parsing. InfoQ spoke with Julien Nioche, VP of Apache Nutch project, about the framework new features and its future roadmap.
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Transitioning from RDBMS to NoSQL. Interview with Couchbase’s Dipti Borkar
While relational databases have been used for decades to store data, and they still represent a viable solution for many use cases, NoSQL is being chosen today especially for scalability and performance reasons. This article contains an interview with Dipti Borkar, Director of Product Management at Couchbase, on the challenges, benefits and the process of migrating from RDBMS to NoSQL.
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What is CouchDB and Why Should I Care?
CouchDB, a NoSQL solution, is a document-oriented database and within each document fields are stored as key-value maps. CouchDB has some unique characteristics like advanced replication. This article covers getting started, unit testing, CRUD and query operations.
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Virtual Panel: NoSQL Database Patterns and Polyglot Persistence
NoSQL database space has different databases that support different data storage patterns. InfoQ spoke with four panelists about the current state of NoSQL adoption, architecture patterns supported by different NoSQL databases, polyglot persistence and security aspects when using NoSQL databases.
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Implementing Aggregation Functions in MongoDB
In this article, authors Arun Viswanathan and Shruthi Kumar discuss how to implement common aggregation functions on a MongoDB document database using its MapReduce functionality. They also discuss a typical application of aggregations which includes business reporting of sales data.
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An Interview with Rebecca Parsons - Thoughtworks CTO
Dr Rebecca Parsons is the Chief Technology Officer for Thoughtworks, and a Director of the Agile Alliance. At the Agile Australia conference in Melbourne she discussed the trends in database technology around NoSQL databases, the linking of continuous design with continuous delivery and the impact of the mainstream adoption of agile practices on the Agile Alliance.
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Data Modeling: Sample E-Commerce System with MongoDB
The rich document capabilities and atomic operation guarantees in MongoDB makes it possible to model many different applications. Even rigorous requirements of conventional applications like e-commerce system are possible in a document database. This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.
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CAP Twelve Years Later: How the "Rules" Have Changed
The CAP theorem asserts that any networked shared-data system can have only two of three desirable properties (Consistency, Availability and Partition Tolerance). In this IEEE article, author Eric Brewer discusses how designers can optimize consistency and availability by explicitly handling partitions, thereby achieving some trade-off of all three.
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Introduction to MongoDB for Java, PHP and Python Developers
The NoSQL movement is here to stay. The need for reliable storage that can be easily queried and easily scalable without the pain of SQL schema migration is real. Developers want more agile systems. This article uses MongoDB to introduce NoSQL concepts. This article covers the basics of MongoDB architecture, caveats and programming in MongoDB for Java, PHP, and Python developers.