How do you bringing agility into big data analytics? Learn what makes analytics uniquely different than application development, and how to adapt agile principles and practices to the nuances of analytics. Examine how the disciplines of data science and software development complement one another, and how these intersect in an agile project environment.
Elasticsearch is an open source, distributed real-time search and analytics engine for the cloud. InfoQ spoke with Costin Leau about Elasticsearch and how it integrates with Hadoop and Big Data.
Justin Weiler introduces FatDB, a NoSQL DB and a distributed platform built on Mission Oriented Architecture meant to abstract and generalize the essential characteristics of enterprise applications.
Although Hadoop is a set of an open source Apache (and now GitHub) projects, there are currently a large number of alternatives for installing a version of Hadoop and realizing big data processes. 4
"Real-Time Big Data Analytics: Emerging Architecture" white paper by Mike Barlow discusses the difference between traditional & real-time analytics. InfoQ spoke with Mike about this topic. 3
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 his new article Josh Wills introduces Crunch - a new Apache incubating project providing a Java library for creating MapReduce pipelines. 1
Hadoop MapReduce jobs have a unique code architecture that raises interesting issues for test-driven development. In this article Michael Spicuzza shows how to use MRUnit to solve these problems. 1
InfoQ spoke with NoSQL Distilled book authors, Pramod Sadalage and Martin Fowler about NoSQL database space and the emerging trends in NoSQL.
Stefan Edlich reviews NoSQL, considering its evolution, financial impact, standards or their lack of, current landscape, books, the leaders and some newcomers, concluding that NoSQL is here to stay. 3