Chapter 1. Introduction to Big Data and Hadoop
Hello big data enthusiast! By this time, I am sure you must have heard a lot about big data, as big data is the hot IT buzzword and there is a lot of excitement about big data. Let us try to understand the necessities of big data. There are humungous amount of data, available on the Internet, at institutions, and with some organizations, which have a lot of meaningful insights, which can be analyzed using data science techniques and involves complex algorithms. Data science techniques require a lot of processing time, intermediate data(s), and CPU power, that may take roughly tens of hours on gigabytes of data and data science works on a trial and error basis, to check if an algorithm can process ...
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