Twitter’s engineering group, known for various contributions to open source from streaming MapReduce to front-end framework Bootstrap recently announced open sourcing an algorithm that can efficiently recommend content. LinkedIn also open sourced a Machine Learning library of its own, ml-ease. In this article we present the algorithms and what they mean for the open source community.
Facebook, Google, LinkedIn, and Twitter have decided to make sure that a relational databases is “web-scale”, so they have put their efforts behind WebScaleSQL, a branch of MySQL 5.6 Community Edition.
Apache has released Kafka 0.8, the first major release of Kafka since becoming an Apache Software Foundation top level project. Apache Kafka is publish-subscribe messaging implemented as a distributed commit log, suitable for both offline and online message consumption. It is a messaging system initially developed at LinkedIn for collecting and delivering high volumes of event and log data.
LinkedIn has open sourced IndexTank, a document indexing engine that runs on the cloud and lets users customize the indexing process and tweak the results.
Last week SpringSource released a first milestone for Spring Social, a Spring-based template for accessing Twitter, LinkedIn, Tripit and Facebook from within Java programs. Rather than exposing generic, URL-based APIs, the Spring Social APIs are designed specifically for each site and make integrating with those sites straight forward. InfoQ examines the new API as well as some alternatives.