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https://github.com/ErickWendel/processing-large-reports-in-the-browser

Examples from my video about processing large reports in the browser without any backend
https://github.com/ErickWendel/processing-large-reports-in-the-browser

chromeapi module-workers n-tier-architecture performance sharedworkers stream webstream webworkers

Last synced: 10 days ago
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Examples from my video about processing large reports in the browser without any backend

Host: GitHub
URL: https://github.com/ErickWendel/processing-large-reports-in-the-browser
Owner: ErickWendel
Created: 2023-02-23T16:03:21.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-03-22T20:39:13.000Z (over 1 year ago)
Last Synced: 2024-08-01T12:30:02.434Z (3 months ago)
Topics: chromeapi, module-workers, n-tier-architecture, performance, sharedworkers, stream, webstream, webworkers
Language: JavaScript
Homepage: https://www.youtube.com/live/-wXPxJYhZeI?feature=share
Size: 59.6 KB
Stars: 183
Watchers: 6
Forks: 30
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # processing-large-reports-in-the-browser

## About

This is the examples shown in my live screen about [Performance and multithreading in browsers + ECMAScript Modules in Web Workers (pt-br)](https://www.youtube.com/live/-wXPxJYhZeI?feature=share)

First of all, leave your star 🌟 on this repo.

Access our [**exclusive telegram channel**](https://bit.ly/canalerickwendel) so I'll let you know about all the content I've been producing 

## Complete source code

- Access it in [app](./recorded/)

- Checkout the [live demo](https://erickwendel.github.io/processing-large-reports-in-the-browser/recorded) (preferentially on Chrome browser)

  - Upload the file [database-small.csv](./recorded/assets/database-small.csv) or download the [SLC_Police_Calls_2013__2016_cleaned_geocoded.csv(210.83 MB)](https://www.kaggle.com/datasets/foenix/slc-crime?select=SLC_Police_Calls_2013__2016_cleaned_geocoded.csv)on Kaggle.

## Have fun!

![Erick_Wendel_-_Thumbnail_Performance_e_multithreading](https://user-images.githubusercontent.com/8060102/221061262-f9425071-0080-48ff-b69c-55d9036937ba.jpg)

## References:

- https://caniuse.com/?search=workers