Big Data with Hadoop
Big Data is the technology that involves the management and analysis of really large chunks of data, impossible to be processed by traditional computers. Data from Social Media, Stock Exchange, Power Grids, Search Engines etc. are some examples of Big Data.
Hadoop is an open-source fault-tolerant framework that allows one to store and process data. In this course, we will learn how to work with big data using one of the most popular frameworks, Hadoop! The course will also cover Hadoop ecosystems models such as MapReduce, Hive, Pig, etc.
What are the benefits of using Hadoop?
Hadoop’s design principles based on performance efficiency and developer-friendliness are of great value for anybody working in the Data Science domain. Here are some of its benefits:
Fast and Flexible – Data extraction, processing, data warehousing, data analysis and more could be performed quickly
Why should you learn Hadoop and Big Data?
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