Elasticsearch is an open source, distributed real-time search and analytics engine for the cloud. The first milestone of elasticsearch-hadoop 1.3.M1 was released last month. InfoQ spoke with Costin Leau about Elasticsearch and how it integrates with Hadoop and other Big Data technologies.
In his new article Kai Wähner compares several alternatives for installing a version of Hadoop and realizing big data processes. He compares distributions and tooling from Apache and many other vendors including Cloudera, HortonWorks, MapR, Amazon, IBM, Oracle, Microsoft. He additionally describes pros and cons of every distribution and provides a decision tree for choosing a most appropriate one.
Paul Dix leads a practical exploration into Big Data in this video training series. The training focuses on the high level architecture while teaching practical usage skills and Ruby algorithms.
In this virtual panel, InfoQ talks to several Hadoop vendors and users about their views at current and future state of Hadoop.
In his new article Benjamin Fagin discuss how to write XJC plugins and use this technique to generate AVRO schemes and marshaling classes directly from existing XSD files 8
Usage of custom Hadoop OutputFormat allows to produce output data in a form most appropriate for other applications. 2
In this article authors show how to extend Oozie by introducing custom actions, specific for a given company/line of business. 4
This article describes how interoperable clouds can be created, today, through the integration of open standards such as the Open Cloud Compute Interface, the Open Virtualisation Format and CDMI. 3
Complete Oozie example, demonstrating language features and their usage in real world examples 2
A new marshaling framework - Apache Avro provides a lot of interesting new features. In his new article, Boris Lublinsky takes it for a test drive and provides some suggestions on its proper usage 4