Hadoop Tutorial for Beginners - Big Data Hadoop Tutorial

Data Analysts and Hadoop experts are in high demand. The Big Data and Data Analytics industry is growing fast and wide, with a growth rate of 23% through 2026 and average salaries of $85,000. IT mavens like Google, Amazon and IBM as well as growing start-ups are always in search of Big Data experts. So we have come up with a tutorial on Apache Hadoop to help you get started on your Data Analytics path!

This course will be taught by Mr. Raghu Raman, a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem, including Apache Spark. He has an impressive resume, having worked with global customers like IBM, Capgemini, HCL, and Wipro. To top it all off, he has worked with many bay area start-ups in the US.

0. Agenda - .
1. Introduction to Big Data - .
2. ETL (Extract-Transform-Load) - .
3. Introduction to Hadoop - .
4. Distributed Computing - .
5. Hadoop Architecture - .
6. HDFS File Storage - .
7. Introduction to Oozie and HDFS Processing - .
8. Hadoop Clusters - .
9. Hadoop Ecosystem - .
10. Introduction to MapReduce - .
11. Understanding MapReduce with an example - .
12. MapReduce Practical Example - .
13. Comparing MapReduce programming with Java - .
14. MapReduce Hands-On Word Count Program - .
15. Word Count Program Code - .
16. Apache Hadoop YARN - .