Oracle by Example brandingPublishing Your Stream Analytics Pipeline

section 0Before You Begin

This 5-minute tutorial shows you how to publish a Stream Analytics pipeline that lets you monitor public transportation in the Atlanta area.

This is the sixth tutorial in Monitoring Public Transportation Using Stream Analytics. Read them sequentially.

Background

Stream Analytics is a graphical tool with an intuitive web-based interface that enables you to explore, analyze, and manipulate streaming data sources in real time.

This traffic management solution uses GPS fleet data. This data is low cost, accurate, and it's created in real time. Its value for government sector customers is that this fleet data reduces congestion on roadways and enhances the traveling experience. The general features represented in this solution are real-time traffic analytics, speed violation tracking, and congestion detection. These features are combined with GPS streaming sensor feeds and historical trend data using map-based visualizations. This solution uses enterprise-grade Spark Streaming, Kafka open-source messaging, a highly scalable, extensible platform built with Stream Analytics.

Some of the key benefits with this solution are low-cost rollout with zero-road, network disruption, real-time operational intelligence, which is essential for meaningful congestion reduction, and an enhanced traveler experience, with a leading streaming big data technology.

What Do You Need?

Perform the tasks described in Creating Artifacts for Your Stream Analytics Pipeline.

section 2Publish Your Stream Analytics Pipeline

  1. On the toolbar, click Publish.
  2. In the Publish dialog box, on the Pipeline Settings tab, accept the defaults.
    Publish page with Application Settings parameters
    Description of the illustration t5_1.png
  3. Click Publish.
  4. Go to the home page to see your published pipeline.
    Home page with the published Tutorial pipeline
    Description of the illustration t5_2.png

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