Big Data and Hadoop Tutorial for E-commerce
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Big Data and Hadoop Tutorial for E-commerce

Step-by-step guide
4.5 (2 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
10 students enrolled
Last updated 1/2016
English
Current price: $10 Original price: $20 Discount: 50% off
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Includes:
  • 31 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Knowledge of big data terminology and hadoop
  • Understand the Distributed File Systems architecture and any implementation such as Hadoop Distributed File System
  • Configure, execute and monitor a Hadoop Job
View Curriculum
Requirements
  • Before you start with this tutorial, users are expected to have exposure to database concepts
Description

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.

Who is the target audience?
  • Any individual interested in learning hadoop concepts
  • IT professionals and managers who want to understand and learn this hot new technology
  • Big Data professionals who want to learn MapReduce and Hadoop
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Curriculum For This Course
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Introduction
1 Lecture 01:41
+
Hadoop tutorial
5 Lectures 29:48

This course is a step by step guide to Hadoop ecosystem. Let’s get started.

Preview 01:58

What this lecture demonstrates is how to do exactly the same thing you already know how to do, but in CDH.

Preview 04:13

In this lecture, we will work specifically from the view point of Retail company or an e-commerce platform.

Preview 03:09

Here we will learn about Enterprise Data Warehouse (EDW).

EDW ( Enterprise Data Warehouse)
08:24

In this lecture, we will demonstrate how we can implement a small use-case using Hadoop ecosystem .

Hadoop Ecosystem
12:04
About the Instructor
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