Learn how to use pyspark.
- [Instructor] Spark offers other alternatives…for its default shell,…and PySpark is one of them.…Before we try PySpark, let's first make sure…that Python is installed.…Type python in the terminal window and press enter.…If you get a message like what you see here,…you need to install Python.…Type apt, hyphen, get install, Python.…Press enter.…
Type Y and press enter.…Now try Python again.…Type Python and press enter.…Looks like Python has been successfully installed.…Type exit, E-X-I-T, open parentheses, close parentheses yes.…To start PySpark, type PySpark and press enter.…
If you see the screen like this, you're good to go.…Now, let's try to create an RDD,…by typing lowercase text, T-E-X-T,…uppercase F, lowercase I-L-E,…space, equals sign, space, lowercase S-C,…dot, lowercase T-E-X-T,…uppercase F, lowercase I-L-E,…open parentheses, double quotation mark,…read me, R-E-A-D-M-E all capital, dot lowercase M-D.…
Double quotation, close parentheses.…Here, S-C stands for Spark Context.…Press enter, let's try an action.…
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: pyspark