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Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time

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Streaming Analytics Workshop

In this workshop, you will build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time. You set out to improve the operations of a taxi company in New York City. You’ll analyze the telemetry data of a taxi fleet in New York City in near-real time to optimize their fleet operations.

The ready to use workshop is available from https://streaming-analytics.labgui.de/

Setup:

Install Hugo:

On a mac:

brew install hugo

On Linux:

Clone this repo:

From wherever you checkout repos: git clone https://github.com/aws-samples/streaming-analytics-workshop.git (or your fork)

Clone the theme submodule:

cd streaming-analytics-workshop

git submodule init ; git submodule update

Install Node.js and npm:

You can follow instructions from npm website: https://www.npmjs.com/get-npm

Install node packages:

npm install

Run Hugo locally:

npm run server or npm run drafts to see stubbed in draft pages.

npm run build will build your content locally and output to ./public/

npm run test will test the built content for bad links

View Hugo locally:

Visit http://localhost:8080/ to see the site.

Making Edits:

As you save edits to a page, the site will live-reload to show your changes.

Auto Deploy:

Any commits to master will auto build and deploy in a couple of minutes. You can see the currently deployed hash at the bottom of the menu panel.

License Summary

The documentation is made available under the Creative Commons Attribution-ShareAlike 4.0 International License. See the LICENSE file.

The sample code within this documentation is made available under the MIT-0 license. See the LICENSE-SAMPLECODE file.

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Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time

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