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About the Hadoop Big Data Course
Big Data is a buzzword making the tech circles today. About a decade back, analytics and processing of big data was thought to be unaffordable, infeasible and unnecessary. Big Data processing was prevalent in the realm of specific scientific computing requiring multi-billion dollar computing infrastructure like supercomputers. But modern systems pour in volumes of data and by exploiting previously known techniques in smart ways, Big Data analytics has become unavoidable, feasible and affordable using commodity computing infrastructure.
Though the adjective big? is associated with volumes of data, volumes are just one aspect of big data. In this course, we will explore other dimensions of Big Data. We will understand the concepts behind Map-Reduce, the most popular programming model for handling Big Data. To gain more insight and exposure to Map Reduce we will look into Hadoop, an open source Java-based MapReduce framework and work out some examples on this framework.
This is a well designed hands-on course focused on beginners and intermediate programmers. You will learn the following-
Who Should Learn this Course?
This course is for students, professionals and entrepreneur interested in pursuing a career or building a company in big data.
Prerequisite to attain this course
Programming on Hadoop - Mappers, Reducers, Combiners, Partitioners (Lecture #4)
Hadoop Ecosystem covering Hive, Pig, Zookeeper etc. (Lecture#5)
Programming in Hadoop Exercises (Lab#3)
Guest Lecture on BigData (Lecture#6)
Final Quiz: 1.5 hours quiz
Project Midpoint and Feedback (Discussion#4)
Project Midpoint and Feedback (Discussion#5)
Resources, Quiz Answers, Course Feedback (Discussion#6)