Hadoop Tutorial for Beginners | Hadoop Tutorial | Big Data Hadoop Tutorial for Beginners | Hadoop
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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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🔥 Get the free certificate of completion for the Hadoop course, Register Now: https://glacad.me/3ysVn7u
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Visit Great Learning Academy to get access to 1000+ free courses with free certificate on Data Science, Data Analytics, Digital Marketing, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free.
⚡ About Great Learning:
With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more.
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🔥Build a career in Data Science & Business Analytics: https://www.mygreatlearning.com/pg-program-data-science-and-business-analytics-course?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP53
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
——————————————————————————————————————————————————-
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.
——————————————————————————————————————————————————-
🏁 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
🔥Check Our Free Courses with free certificate: 📌
🔥 Get the free certificate of completion for the Hadoop course, Register Now: https://glacad.me/3ysVn7u
⚡ About Great Learning Academy:
Visit Great Learning Academy to get access to 1000+ free courses with free certificate on Data Science, Data Analytics, Digital Marketing, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free.
⚡ About Great Learning:
With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU’S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more.
SOCIAL MEDIA LINKS:
🔹 For more interesting tutorials, don’t forget to subscribe to our channel: https://glacad.me/YTsubscribe
🔹 For more updates on courses and tips follow us on:
✅ Telegram: https://t.me/GreatLearningAcademy
✅ Facebook: https://www.facebook.com/GreatLearningOfficial/
✅ LinkedIn: https://www.linkedin.com/school/great-learning/mycompany/verification/
✅ Follow our Blog: https://glacad.me/GL_Blog
