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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.

    Stefan Edlich
    on Nov 21, 2012

  • Hadoop Virtual Panel

    In this virtual panel, InfoQ talks to several Hadoop vendors and users about their views at current and future state of Hadoop and the things that are the most important for Hadoop’s further adoption and success.

    Boris Lublinsky
    on Nov 20, 2012

  • 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.

    Rich Hickey
    on Nov 02, 2012

  • 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.

    Srini Penchikala
    on Nov 01, 2012

  • Blueprint for a Big Data Solution

    In his new article Jonathan Natkins explains how to use components of Apache Hadoop, including Flume, Hive and Oozie to implement a typical Data management system. He also gives a practical example of such architecture to measure Twitter user’s influence.

    Jonathan Natkins
    on Oct 31, 2012

  • arrayDB, a New and Easy PHP ORM

    Most ORM libraries make you write a new class for each item you want to keep in the database. Extending this and that for no apparent reason is repetitious and capricious. Using techniques that can be applied to most languages, arrayDB looks at simplifying the whole process by doing away with statically defined classes.

    Mustafa Dokumacı
    on Oct 04, 2012

  • Inside the Complexity of Delivering Cloud Computing

    There's a lot more to cloud computing than meets the eye. This article presents an insider's view on what really is entailed in designing and deploying a cloud-based solution.

    JP Morgenthal
    on Oct 03, 2012

  • Hadoop and Metadata (Removing the Impedance Mis-match)

    A new Apache HCatalog project is a table and storage management layer for Hadoop that enables different data processing tools – Pig, MapReduce, and Hive – to more easily inter-operate data. HCatalog’s presents users with a relational view of data and ensures that users need not worry about where or in what format their data is stored – RCFile format, text files, or sequence files.

    Alan Gates Russell Jurney
    on Sep 26, 2012

  • 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.

    Abel Avram
    on Sep 08, 2012

  • 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.

    Leo Pryzbylski Warner Onstine
    on Jul 04, 2012

  • 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.

    Srini Penchikala
    on Jul 03, 2012

  • 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.

    Shruthi Kumar Arun Viswanathan
    on Jun 20, 2012
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