Learn about how to set up a Hadoop cluster.
- [Instructor] Setting up a Hadoop cluster…is much more involved than installing Hadoop…in a standalone mode.…It requires a tedious process…of installing underlying software,…adding environment variables,…and changing configuration files.…Much of this can, of course, be automated…by writing shell scripts or by cloning virtual machines.…In this demo, I have two Proxmox virtual machines,…an Ubuntu desktop VM, shown here.…
It's configured to be my master node,…while an Ubuntu server VM, shown here, serves as a slave.…One additional software requirement for a Hadoop cluster,…is secure shell server,…which needs to conduct public key authentication.…For example, I created a new user called hduser…for both my Hadoop master and slave.…
I also edited their /etc/host and /etc/hostname files…so that I can do this.…Let's first log in as hduser on my Hadoop master VM.…Type su - hduser as your user name,…and then type your password.…Here, the dash allows me to log in to the home directory…of the hduser.…
Now, type ssh master.…As you can see here, I don't need a password to log in,…
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: Installation