atulkumar2

Bigdata is like combination of bunch of subjects. Mainly require programming, analysis, nlp, MLP, mathematics. 

To see links, Go : http://www.quora.com/What-are-some-good-sources-to-learn-big-data
Here are bunch of courses I came accross:

Introduction to CS Course
Notes: Introduction to Computer Science Course that provides instructions on coding.
Online Resources:
Udacity - intro to CS course,
Coursera - Computer Science 101

atulkumar2

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Apache spark - Apache Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley.[1] Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS).[2] However, Spark is not tied to the two-stage MapReduce paradigm, and promises performance up to 100 times faster than Hadoop MapReduce for certain applications.

Database pipelining - http://www.tuplejump.com/img/ff08.theplatform.png
                      As you will notice it's just not about processing the data, but involves a lot of other components. Collection, storage, exploration, ML and visualization are critical to the proect's success.


SOLR -  Solr to build a highly scalable data analytics engine to enable customers to engage in lightning fast, real-time knowledge discovery.