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InfoQ Homepage Database Content on InfoQ

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Testing SQL Server Code with TST

    Automated Testing (unit/integration) is an integral part of any agile development process. However a project with significant logic housed in database code creates severe constraints to writing unit level tests, especially if it is large, complex and depend on data. We will explore the TST framework and a few ideas for writing and maintaining good tests for database code.

  • 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.

  • 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.

  • 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.

  • 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.

  • Software Engineering Meets Evolutionary Computation

    In this IEEE article, author Mark Harman talks about evolutionary computation and how it has affected software design. Main focus is on search-based software engineering (SBSE), which focuses on the application of search-based optimization techniques to problems in software engineering. Mark also discusses the application of SBSE in emerging areas such as cloud, mobile and embedded systems.

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