Learn how to prepare your system for Hadoop installation.
- [Instructor] The first step in installing Hadoop…is to ensure that you're using the right operating system.…What you need is a Linux distribution,…and we're using Ubuntu here.…Create a new Ubuntu VM on Proxmox…with at least eight gigabyte of this storage.…Use as much memory as you can afford to.…One gigabyte may be fine, but I'm using eight gigabyte…as you can see here.…
We also need to prepare the Ubuntu operating system…so that we have all the necessary underlying software…Hadoop depends on.…These are rsync and JDK.…Rsync is a utility program used to transfer…and synchronize files among computers…connected through a network.…JDK is Java Development Kit.…
Hadoop is mostly written in java,…which is why we need JDK for it to run.…Type sudo apt-get install rsync…and press enter.…Looks like rsync is already installed.…Next, type java -version…to see if java is already installed.…
Looks like java is not installed yet.…Now, type sudo apt-get install openjdk-8-jdk…to install the JDK.…Press enter.…It's asking if you want to continue,…
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: Preparation