by James Dixon and Chris Deptula
The big data world is extremely chaotic based on technology in its infancy. Learn how to tame this chaos, integrate it within your existing data environments (RDBMS, analytic databases, applications), manage the workflow, orchestrate jobs, improve productivity and make using big data technologies accessible to a much wider spectrum of developers, analysts and data scientists. Learn how you can actually leverage Hadoop and NoSQL stores via an intuitive, graphical big data IDE – eliminating the need for deep developer skills such as Hadoop MapReduce, Pig scripting, or NoSQL queries.
by Doug Cutting
Apache Hadoop forms the kernel of an operating system for Big Data. This ecosystem of interdependent projects enables institutions to affordably explore ever vaster quantities of data. The platform is young, but it is strong and vibrant, built to evolve.
by Mike Olson
Tools for attacking big data problems originated at consumer internet companies, but the number and variety of big data problems have spread across industries and around the world. I’ll present a brief summary of some of the critical social and business problems that we’re attacking with the open source Apache Hadoop platform.
28th February to 1st March 2012