Introduction to Practical Hadoop


     We are all aware of the existence of Bigdata and the role/reason of Apache Hadoop in this world. No we are not going to talk about 3 Vs, nor about big data and why the need of Hadoop, nor the comparison about traditional BI system and hadoop, nor its capabilities of distributed computing.

     These are the topics which have been often discussed in great length. Probably everyone by this time should be having a very thorough understanding of all these facts.

This blog is about the practical implementation of hadoop in the real world.

Before that, you may be interested in knowing why an organisation decides to go for tapping into the resources of Big Data.  Of course to turn the dormant data to a powerhouse of information from which the companies can immensely benefit.  Following are some of the outcome of an organisation preferring to reap the advantages from huge amount of data.



1. Fraud detection.
2. Customer behavior and insights.
3. Business optimization.
4. Predictive analysis.
5. Targeted advertising.
6. Business realization of social media data and semi/unstructured data.
7. Staying ahead of the competitors.
8. Trend analysis.
9. Pattern identification.

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