Learn about the concept and significance of different types of cloud.
- There are different types…of cloud services available to you,…and it's important to make a proper choice…to meet your needs.…Public cloud is what most of us are familiar with.…The service is offered to any eligible users,…as its name suggest.…Because of this open nature,…its users have to share cloud resources…with other customers.…What this means is that your virtual machines, or VMs,…could be running side by side with your neighbors…on the same physical server or in the same network.…
This presents a real security challenge…because malicious users could gain access…to your VM through the common hypervisor…or network shared with their victims.…One of the consequences of such a breach is stolen data.…The attackers can steal sensitive information…stored on your VM.…Another possibility is that they simply wipe out your data…or add their own records for fraudulent purposes.…
Control over your data is another thing to consider.…As soon as you upload your data to the cloud,…your service provider has full visibility…
Author
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
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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: Types of cloud