Hadoop Tutorial for Beginners | Hadoop Tutorial | Big Data Hadoop Tutorial for Beginners | Hadoop

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! #Hadoop #BigData #DataAnalytics
#BusinessAnalytics #BusinessIntelligence #GreatLearning
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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.
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🏁 The topics that will be covered in the course include:
0. Agenda - 00:00:00
1. Introduction to Big Data - 00:03:03
2. ETL (Extract-Transform-Load) - 00:18:10
3. Introduction to Hadoop - 00:32:38
4. Distributed Computing - 00:46:20
5. Hadoop Architecture - 00:54:52
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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[greatlearning]

The topics that will covered in the course include:
0. Agenda - 00:00:00
1. Introduction to Big Data - 00:03:03
2. ETL (Extract-Transform-Load) - 00:18:10
3. Introduction to Hadoop - 00:32:38
4. Distributed Computing - 00:46:20
5. Hadoop Architecture - 00:54:52
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

[raghushining]

I am speechless by reading the comments below. I am really glad to know that you liked my video. Happy to help !

[jumbocat]

Woah, i don't think there's any other YT tutorial that is explaining Hadoop concepts in such a sleek and effortless manner. Also, I haven't ever watched a video with this much interest and that to on a technical topic.
Kudos to the lecturer. Thanks again for sharing all your knowledge and wisdom with us.

[sidharthpanda]

Great video!! I was really clueless about the architecture of hadoop and was not ready at first, but after the going through this video I was greatly satisfied with every
explaination. Thanks for making such a great content available, this is a real gem for open-source learning.

[Piyushsantwani]

What a wonderful teacher and storyteller! Thank you.

[arjunaraya]

Awesome!!! I was clueless with certain hadoop concepts. Now all make sense. Thank u Sir.👌🏻

[AiykRichie]

Learning Hadoop has never been this simple.. I can only imagine the experience for your life students in class. Will be following any other course you have here. Thanks.

[krazykaushik]

Such smooth transfer of knowledge. I hardly had any idea about Hadoop but I can't say now after going through this tutorial. Brilliantly explained!

[shreeyajoshi]

Such a practical approach oriented video this is! Thank you for making this video. I felt like sitting in a classroom and listening to it. Thank you again!

[faceTheCandidates]

The most well articulated explanation of MR I've come across! Thank you, Raghu Raman - wish you the best!

[jeneyify]

He has so much experience so he's able to make us understand nicely. I wish one day I will be able to explain to someone with my personal experience. Wonderful session.

[chillbro]

i'm only 1:42 minutes into the video and already have received a most of what I hoped to learn. Thank you great job editing out the student questions too, and getting straight to your answers.

[ravi]

Super! Tutor is very knowledgeable. Examples are apt.

[sony]

👍👍👍Thanks Great Learning for another amazing lesson recording.
I'm absolutely beginner and found this is the most simplified and easy explanation.
have tried other channels but as usual GL is the best.

[bennaimohamedcherif]

iI didn't feel the passage of time, I'm amazed I didn't get bored with a 4 hour video!

[mohanee]

Excellent tutorial. After watching the full ideo I feel like I am master in Hadoop ... Thanks very much for detailed explanantion and covering all topics. 👏

[rizwanansari]

No words to praise your efforts.

All I can say is you are the future

[fatemetardasti]

Awesome!!! Thanks a lot! I just hope you didn't cut the original video, as it seems they contain some hidden gems.

[truptipatil]

I had to comment and let you know this was great, even though it was 4 hrs not for the minute it got me bored. Great content. Thank you my first ever YouTube comment

[hgikcxp]

What a great teaching.. you are a LIFE saver