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  • 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.

    Russell Jurney Alan Gates
    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
  • AI, ML & Data Engineering

    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.

    Christian Kvalheim
    on Jun 06, 2012

  • 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.

    Eric Brewer
    on May 30, 2012

  • 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.

    Rick Hightower
    on May 22, 2012

  • MongoDB, Java and Object Relational Mapping

    Brian C. Dilley covers pitfalls, & strengths of using MongoDB ("a very approachable NoSQL solution"), and introduces MJORM. The MJORM project is an annotation free MongoDB Java ORM library. This article builds on Brian's real world in the trenches experience with MongoDB and includes "gotchas" like "Don't treat MongoDB like an RDBMS...", how to "design your indexes carefully", and more.

    Brian C. Dilley
    on Apr 30, 2012

  • Evolution in Data Integration From EII to Big Data

    With the emergence of inexpensive cloud-based storage and cost-effective ways to process large volumes and complex data there has been a shift in approach toward data integration.

    JP Morgenthal
    on Feb 22, 2012

  • Implementing Lucene Spatial Support

    Lucene geospatial extension proposed in this article is based on a two level search – first level search is based on Cartesian Grid search and the second level implements shape specific spatial calculations

    Boris Lublinsky
    on Jan 13, 2012
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