Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System with the help of an e-commerce specific example.
Hadoop framework allows the user to quickly write and test distributed systems. It is efficient, and it automatically distributes the data and work across the machines and in turn, utilizes the underlying parallelism of the CPU cores.
Another big advantage of Hadoop is that apart from being open source, it is compatible on all the platforms since it is Java based.
We will also cover Enterprise Data Warehouse and Hadoop ecosystems and the practical concepts involved in handling very large data sets.
About the instructor:
The instructor Durga Gadiraju, has a 12+ years of experience in IT. He has been associated with several fortune clients such as Wal-Mart, IBM, AT&T,Dell, etc.
This course is a step by step guide to Hadoop ecosystem. Let’s get started.
What this lecture demonstrates is how to do exactly the same thing you already know how to do, but in CDH.
In this lecture, we will work specifically from the view point of Retail company or an e-commerce platform.
Here we will learn about Enterprise Data Warehouse (EDW).
In this lecture, we will demonstrate how we can implement a small use-case using Hadoop ecosystem .
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All of our courses contain videos explaining various concepts in simplified manner. To help you retain better, you will also find quizzes and assignments through the courses. We also provide personalized assistance to all our learners by clarifying all their doubts through discussion forums.