Hadoop Starter Kit

The objective of this course is to walk you through step by step all the core components in Hadoop and more importantly make the Hadoop learning experience easy and fun.

By enrolling in this course you can also get free access to our multi-node Hadoop training cluster so you can try out what you learn right away in a real multi-node distributed environment.

ABOUT INSTRUCTOR(S)

We are a group of Hadoop consultants who are passionate about Hadoop and Big Data technologies. 4 years ago when we were looking for Big Data consultants to work on our projects we did not find qualified candidates because the big data industry was very new and hence we set out to train qualified candidates in Big Data ourselves giving them a deep and real world insight into Hadoop.

WHAT YOU WILL LEARN IN THIS COURSE

In the first section, you will learn about what is big data with examples. We will discuss the factors to consider when considering whether a problem is a big data problem or not. We will talk about the challenges with existing technologies when it comes to big data computation. We will break down the Big Data problem in terms of storage and computation and understand how Hadoop approaches the problem and provide a solution to the problem.

In the HDFS, section you will learn about the need for another file system like HDFS. We will compare HDFS with traditional file systems and its benefits. We will also work with HDFS and discuss its architecture of HDFS.

In the MapReduce section, you will learn about the basics of MapReduce and the phases involved in MapReduce. We will go over each phase in detail and understand what happens in each phase. Then we will write a MapReduce program in Java to calculate the maximum closing price for stock symbols from a stock dataset.

In the next two sections, we will introduce you to Apache Pig & Hive. We will try to calculate the maximum closing price for stock symbols from a stock dataset using Pig and Hive.