According to wikipedia, the odds of winning the California Mega Millions Lottery are one in 10,068,347,520. The probability of picking all 6 consecutive numbers correctly is 49!/(49-6)!, which turns out to be 10,068,347,520.

In this proof of concept, I will analyze the data that I downloaded from www.calottery.com on 7/6/2015. The data consist of 6 winning Mega Millions drawing numbers from each drawing dated back from 6/24/2005 to 7/3/2015. I will try various mathematical methods to minimize the risk of losing money in the lottery in my data analysis using Hadoop. At the same time, I will prove the concepts I learn from Hadoop Developer class, using MapReduce, Pig, HIVE, Sqoop, and Hbase. Below is a diagram of the Hadoop blocks that I will explain in the following chapters:

Figure A: Hadoop Proof of Concept Block Diagram

Click here to go to Chapter 2: www.leisdesignservices.com/mapreducenumbercount.htm

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