Learn how to install Spark.
- [Instructor] Let's download Spark first…by visiting spark.apache.org.…Click on download.…Choose the latest version of Spark…and use the option Pre-built…for Apache Hadoop 2.7 and later.…Click on the download Spark link.…Pick your favorite mirror link and click.…Click on okay.…
Type cd ~/Downloads, press enter.…Type ls.…You can see the Spark file we just downloaded here.…It is in a zipped TAR archive format…and we need to unzip and unTAR it by typing tar - zxvf…and then the name of the file, spark -2.3.0.…
Press enter.…Let's check what's in the newly created Spark directory…by typing ls and then cd spark-2.3.0-bin-hadoop 2.7.…Type ls.…Looks like everything went well.…Now, let's become root by typing sudo -i.…
Press enter.…Type the password.…Let's move the temporary directory in the downloads folder…to a proper location by first creating…a slash user slash local slash Spark directory.…Type mkdir, make directory,…/usr/local/spark.…
Press enter.…Type mv /home/jungwooryoo/Downloads/spark/…everything inside the directory, which is asterisk,…
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: Spark: Installation