Over the last 10 years data science has evolved substantially to allow business users to see patterns and usage after big data analysis. Interestingly, for those who are trained via reliable Hadoop training in Mumbai they see that data science is increasingly becoming a part of Hadoop data analytics course.
1 – Data exploration
Hadoop helps data scientists to make sense of the complex web of numbers, facts, and figures and their potential inter-relation. It comes in handy when they have to do data exploration without knowing the intricacies behind the huge data set.
Many times, data scientists would have to construct a classifier to filter the data. This filtering helps them to narrow down information to be analyzed based on business needs. This is where Hadoop training Mumbai comes in.
With sampling, a data scientist gets an acceptable universal perspective. Hadoop helps him in this case. It allows him to understand which approach will work or not work for displaying a representative sample of the data. Take for instance the ‘Sample’ keyword in Hadoop Pig which helps in this exact approach.
In Hadoop training Mumbai, you may be familiar with the MapReduce functionality. It helps the mappers to get abridged data. If you learn about Pig, Hive, MapReduce, and distributed systems, you will be able to summarize data better.
To wrap up
These reasons show why Hadoop will be around for a long time for big data analytics and data science. If you are undergoing Hadoop training Mumbai from a reputed institute, then be assured that will be prove to be a great career move.
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