Hadoop Ali Sharza Khan High Performance Computing 1.

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Presentation transcript:

Hadoop Ali Sharza Khan High Performance Computing 1

Table of Content Hadoop Where did Hadoop come from ? What problems can Hadoop solve? Where does Hadoop applies to ? How is Hadoop architected? Two main parts of Hadoop Conclusion 2

Hadoop What is Hadoop ? – Open Source project – Processing Large data sets in parallel 3

Where did Hadoop come from? Google Yahoo, Facebook, Twitter and Linkedln are actively contributing towards Hadoop. 4

What problems can Hadoop solve? Where you have lot of data Run analytics that are deep and computational extensive 5

Where does Hadoop applies to ? Search engine Finance Online Retail Government Media and entertainment Research Institution and other market 6

How is Hadoop architected? Every server has 2 or 4 or 8 Cpu’s. Each server operates on its own little piece of data. Hadoop clusters at Yahoo covers servers, and store 25 petabytes of application data. The largest cluster being 3500 servers. 7

Cloudera CEO Interview NP4_ICDeqE 8

Two main parts of Hadoop HDFS (Hadoop Distributed File System) Map Reduce Framework – Map Phase – Reduce Phase – JobTracker (The master) – TaskTracker (The slave) 9

MapReduce FrameWork 10

Conclusion Why Hadoop is able to deal with lots of data? Why Hadoop is able to compute complicated Computational questions? 11