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/
On a mac:
brew install hugo
On Linux:
- Download from the releases page: https://github.com/gohugoio/hugo/releases/tag/v0.46
- Extract and save the executable to
/usr/local/bin
From wherever you checkout repos:
git clone https://github.com/aws-samples/streaming-analytics-workshop.git (or your fork)
cd streaming-analytics-workshop
git submodule init ;
git submodule update
You can follow instructions from npm website: https://www.npmjs.com/get-npm
npm install
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
Visit http://localhost:8080/ to see the site.
As you save edits to a page, the site will live-reload to show your changes.
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.
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.