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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.

Shane Hastie
on Jun 19, 2012
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.

Roopesh Shenoy
on Jun 18, 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
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.

Mark Harman
on Apr 16, 2012
Jags Ramnarayan on In-Memory Data Grids

In-memory data grids (IMDG) are gaining lot of attention recently because of their support for dynamic scalability and high performance for data intensive applications. InfoQ spoke with Jags Ramnarayan, Chief Architect for GemFire products at VMWare, about the architecture of in-memory data grids, their advantages compared to the traditional databases, and emerging trends in this space.

Srini Penchikala
on Apr 12, 2012
Ember.js: Rich Web Applications Done Right

This article walks you through building an application with Ember.js, showing the MVC system, data binding, as well as how to build GUI and Touch support.

Joachim Haagen Skeie
on Mar 22, 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
Integrating Lucene with HBase

The article describes overall design and implementation of integrating Lucene search library with HBase back end. It describes integration architecture, implementation and HBase tables design

Boris Lublinsky Mike Segel
on Dec 29, 2011

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