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Real World Big Data in Azure

Course Summary

The Big Data components of Azure let you build solutions which can process billions of events, using technologies you already know. In this course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools.


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    Course Syllabus

    Understanding Big Data in Azure
    - 34m 20s

    —Introducing Big Data in Azure 2m 20s
    —Is This Course for Me? 1m 36s
    —Building the Phase 1 Solution 2m 43s
    —Evolving the Phase 2 Solution 2m 44s
    —Introducing the Telemetry API 1m 53s
    —Demo: EventsController 4m 13s
    —Key Features of the Telemetry API 2m 41s
    —Zipping the Event Batch 2m 20s
    —Demo: GZipToJsonHandler 5m 2s
    —Testing the API 1m 53s
    —Demo: IEventSender 3m 45s
    —Module Summary 3m 6s
    Ingesting Data into Event Hubs
    - 46m 57s

    —Module Introduction 1m 39s
    —Introducing Event Hubs 1m 52s
    —Configuring Event Hubs 3m 0s
    —Creating Event Hubs 3m 29s
    —Automating Event Hub Creation 2m 58s
    —Sending Events 3m 17s
    —Demo: EventHubEventSender 3m 39s
    —Batching Events 3m 13s
    —Demo: EventBatchIterator 4m 4s
    —Batching and Testing 2m 19s
    —Demo: Acceptance Tests 2m 51s
    —Understanding Throughput Units 3m 50s
    —Demo: Deploy, Monitor & Scale 3m 33s
    —Next Steps for Deployment & Monitoring 2m 11s
    —Isolating the Event Hub 2m 22s
    —Module Summary 2m 34s
    Storing Event Data for Batch Queries
    - 51m 21s
    Querying Batch Data in Deep Storage
    - 41m 27s
    Normalizing Event Data for Real-Time Queries
    - 51m 8s
    Building Real-time Dashboards
    - 39m 53s
    Using Storm for the Plumbing
    - 27m 0s
    Using HBase for Storage
    - 29m 50s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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