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!
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The topics that will covered in the course include:
1. Introduction to Big Data - 03:03
2. ETL (Extract-Transform-Load) - 18:10
3. Introduction to Hadoop - 32:38
4. Distributed Computing - 46:20
5. Hadoop Architecture - 54:52
6. HDFS File Storage - 01:01:51
7. Introduction to Oozie and HDFS Processing - 01:15:01
8. Hadoop Clusters - 01:20:26
9. Hadoop Ecosystem - 01:39:09
10. Introduction to MapReduce - 02:07:18
11. Understanding MapReduce with an example - 02:20:32
12. MapReduce Practical Example - 02:37:33
13. Comparing MapReduce programming with Java - 02:49:07
14. MapReduce Hands On Word Count Program - 02:53:59
15. Word Count Program Code - 03:14:09
16. Apache Hadoop YARN - 03:54:37
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The topics that will covered in the course include:
1. Introduction to Big Data - 03:03
2. ETL (Extract-Transform-Load) - 18:10
3. Introduction to Hadoop - 32:38
4. Distributed Computing - 46:20
5. Hadoop Architecture - 54:52
6. HDFS File Storage - 01:01:51
7. Introduction to Oozie and HDFS Processing - 01:15:01
8. Hadoop Clusters - 01:20:26
9. Hadoop Ecosystem - 01:39:09
10. Introduction to MapReduce - 02:07:18
11. Understanding MapReduce with an example - 02:20:32
12. MapReduce Practical Example - 02:37:33
13. Comparing MapReduce programming with Java - 02:49:07
14. MapReduce Hands On Word Count Program - 02:53:59
15. Word Count Program Code - 03:14:09
16. Apache Hadoop YARN - 03:54:37
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