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Applying Real-time Processing Using Apache Storm

Course Summary

Storm lets you to work with large scale streaming data using it's distributed real-time processing architecture. This course discusses the components of Storm topologies and how to use Storm for applying machine learning in real-time.


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    Course Syllabus

    Course Overview
    - 1m 29s

    —Course Overview 1m 29s
    Understanding the Components of Storm
    - 35m 59s

    —Contrasting Real-time and Batch Processing 5m 36s
    —Understanding the Components of Storm 5m 15s
    —Representing Data in Storm Components 3m 45s
    —Building a Hello World Topology 4m 13s
    —Implementing the Spout 5m 30s
    —Implementing the Bolt 6m 2s
    —Running the Topology 5m 35s
    Parallelizing Data Processing Using Storm Components
    - 32m 44s
    Customizing Storm Components for Better Reliability
    - 16m 56s
    Querying Storm Data Streams Using Trident
    - 25m 13s
    Applying Machine Learning to Storm Data Streams
    - 22m 38s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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