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John Doe
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Decks in this class (14)
Week 1: Intro to Cloud Computing
How does virtualization work 1,
What is the anatomy of the platfo...,
Applications of mbaas 3
33
cards
Week 2: Cloud Computing Foundations
What is the difference between au...,
How does the principle of least p...,
What are iam users 3
41
cards
Week 3: Serverless Computing
What is utility computing 1,
What is utility premium and how d...,
What is the hybrid model of utili...
27
cards
Week 4: Big Data Programming in the Cloud - MapReduce, Hadoop, Spark, HDFS and Big Data Distros
What are the properties of reduce...,
What are the properties of map fu...,
What is the primary motivation fo...
40
cards
Week 5: Data Storage Part 1: Cloud-based object storage and file systems
What is an instance store 1,
What are the different types of i...,
What is the lifetime of an instan...
48
cards
Week 6: Data Storage Part 2 Cloud-based Databases and Data Warehouses
What is a rdbms 1,
How do you extend a single node r...,
What is acid 3
40
cards
Week 7: Scalable Data Storage
What is google bigtable 1,
How to query efficiently with big...,
Advantages and disadvantages of b...
46
cards
Week 10: Cloud Based Analytics
What are column stores and what a...,
What are some hardware optimizati...,
How do updates work in columnar s...
40
cards
Week 11: Fast Data Streaming in the Cloud
we'll explore Fast Data real-time streaming. We'll also introduce Storm technology, which is used widely in industries such as Yahoo. We then continue our exploration of Storm technology. We also will learn about Spark Streaming, Lambda and Kappa architectures
30
cards
Week 12: Graph Processing and Machine Learning in the Cloud
Goals and Objectives
Upon successful completion of this module, you will be able to:
Understand the basics of graph processing using Pregel, Giraph, and Spark GraphX.
Compare and contrast graph processing, machine learning, and deep learning.
Learn about Cloud-based Machine Learning Offerings
The Machine Learning and Data Science life cycles and workflows
Human in the loop AI
Explain how machine learning works with examples from Mahout and Spark.
Explain K-means, Naive Bayes, and fpm as e
49
cards
Week 13: Virtualization and Containers
Learn about many fundamental technologies that enable cloud computing, such as software defined architectures, virtualization, and containers.
25
cards
Week 14: Container Orchestration and Infrastructure as Code
How does a dockerfile define the ...,
What is the purpose of multi stag...,
How do image registries and full ...
28
cards
Week 15: Architecting Cloud Applications
What is kubernetes and its advant...,
What are the options for local ku...,
What are the cloud providers for ...
22
cards
Week 16: Future Developments in the Cloud
What are the core benefits of usi...,
What is the terraform workflow an...,
How are terraform modules variabl...
17
cards
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Cloud Computing Fundamentals
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