Hadoop Training

Hadoop Training for Beginners” video will help you learn Big Data Hadoop and Apache Spark from scratch.

We have discussed 2 Hadoop projects in this Hadoop tutorial – US Primary Election & Instant Cab use-cases. You will also learn how to use k-means clustering and zeppelin to analyze and visualize your data.

Comment below in case you need the datasets used in this Hadoop Tutorial For Beginners video.

Below are the topics covered in this Hadoop Training for beginners:

1. Big Data Use Cases – US Election & Instant Cabs

2. Solution strategy of the use cases

3. Hadoop & Spark Introduction

4. Hadoop Master/Slave Architecture

5. Hadoop Core Components

6. HDFS Data Blocks

7. HDFS Read/Write Mechanism

8. YARN Components

9. Spark Components

10. Spark Architecture

11. K-Means and Zeppelin

12.Implementing Solution for both use-cases

 

Why Learn Hadoop?

Big Data! A Worldwide Problem?

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with the increasing amount and complexity of data, these are soon becoming obsolete. The good news is – Hadoop has become an integral part of storing, handling, evaluating, and retrieving hundreds of terabytes, and even petabytes of data.

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