
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

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
Yahoo! have released a search plugin Axis which allows clients to search for web content with graphical previews rendered on the server. Unfortunately, they also leaked their private Chrome signing key with the Chrome extension. Read on for more.
Amazon launched CloudSearch to address growing demand for search capabilities in applications without the overhead of standing up and maintaining search infrastructure. The launch has spurred off a race among search providers. This article focuses on the strengths and gaps in the CloudSearch feature set based on experiences and reactions from the user community.
LinkedIn engineering releases SenseiDB 1.0.0, a NoSQL database focused on high update rates and complex semi-structured search queries, already used in production by LinkedIn in its search related pages (e.g. People/Company search)

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

On September 29th LinkedIn Signal was announced, providing a social search application both for LinkedIn shares and tweets from LinkedIn-Twitter bounded accounts. This article aims to provide more insight into the motivation and technical challenges of combining Scala, JRuby and Voldemort, at such scale.
The rocky job market of the last couple years has left many people looking for work. Agile software development is appealing to many job seekers, but not all jobs are alike. If you want a job in Agile software development, using a framework like Scrum, you need a plan of action that spans all three phases of your job search: reseach/preparation, interviewing, and assessing your opportunities.
Shay Banon demoes ElasticSearch, an open source distributed and RESTful search engine, detailing some of its features: distributed, cloud readiness, facets, and percolator.
John Wang discusses LinkedIn real-time distributed search engine architecture and implementation details for People Search, Signal, Stream Indexing, Zoie, and Bobo.

This presentation discusses Hypertable, an open source, high performance, distributed database modeled after Google's Bigtable. Doug discusses the differences between Hypertable and traditional database technology, support for massive sparse tables, scaling to petabytes size, and how Hypertable is designed to run on top of an existing distributed file system, such as the Hadoop DFS.

In this interview from QCon San Francisco 2007, Randy Shoup discusses the architecture of eBay. Topics discussed include eBay's architectural principles, horizontal and vertical partitioning, ACID vs. BASE, handling data inconsistency, distributed caching, updating eBay on the fly, architectural and coding standards, eBay's search infrastructure, grid computing, and SOA.