Learn about how to operate a Hadoop cluster.
- [Male] There are a number of steps involved…in starting a Hadoop Cluster.…Since you're starting the cluster for the first time,…issue a command to format the name node.…Let's change our directory to slash user slash local…slash hadoop.…Now type HDFS space name node space dash format.…
Press enter.…You can start your name node by first…typing dot slash 'sbin' slash hadoop hyphen…daemon dot SH space dash dash 'config' space…dollar hadoop underscore 'conf' underscore…DIR space dash dash script space HDFS space start…space name node.…
Next, just change name node into data node.…Press enter.…This will start your data node.…Lastly, type dot slash 'sbin' slash start hyphen…DFS dot SH script, as I'm doing here.…Press enter.…Okay, I've made an error here.…Let me retype that very quickly.…
Now let's open another terminal window.…Now, let's sign in as HD user.…So type su, SU, space dash space HD user.…Press enter.…And then enter your password.…Now, you'll need file system that will work with Hadoop.…So type HDFS space DFS space dash MKDIR space slash user.…
Author
Jungwoo Ryoo
Released
8/30/2018- Enabling technologies in data science
- Cloud computing and virtualization
- Installing and working with Proxmox, Hadoop, Spark, and Weka
- Managing virtual machines on Proxmox
- Distributed processing with Spark
- Fundamental applications of machine learning
- Distributed systems and distributed processing
- How Hadoop, Spark, and Weka can work together
Skill Level Beginner
Duration
Views
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Introduction
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Course organization1m 17s
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1. Introduction to Data Science
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Introduction1m 51s
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Data science2m 53s
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Fundamental skills3m 42s
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Enabling technologies2m 4s
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2. Cloud Computing
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Cloud fundamentals3m 29s
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Types of cloud3m 19s
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Solution providers2m 22s
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Proxmox: Installation2m 26s
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3. Distributed File Systems
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Distributed file systems2m 44s
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Fundamentals2m 45s
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Hadoop hands-on2m 8s
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Hadoop: Preparation4m 11s
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Hadoop: Installation4m 18s
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Hadoop: MapReduce hands-on8m 52s
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4. Distributed Processing
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Spark: Installation6m 24s
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Spark: Spark shell4m 28s
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Spark: pyspark4m 32s
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Spark: Application4m 1s
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5. Machine Learning
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Machine learning2m 41s
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Fundamentals2m 16s
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Types of machine learning2m 59s
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Weka: Installation2m 33s
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Weka: GUI3m 35s
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Weka: Training vs. testing3m 21s
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Weka: Clustering2m 12s
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6. Case Study
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Putting it all together2m 42s
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Hadoop cluster: Operation4m 57s
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Spark, YARN, and Hadoop6m 42s
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Weka and Spark3m 12s
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Conclusion
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Next steps41s
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Video: Hadoop cluster: Operation