Scalable & Reliable Data Analysis Using Hadoop Mapreduce

Abstract:

Data analysis is very important for larger websites whose hourly traffic is in millions as it helps the company to frequently monitor the state of the system and user behavior. In situations like this where the data sets are huge (petabytes), using conventional relational database systems for data analysis, even with performance tuning is not a feasible solution and might give up in between. To address situations like this, a highly reliable, scalable and parallel programming model is required.

Hadoop MapReduce is one such programming model using which we can analyze large data sets without compromising in scalability and reliability

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