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CS4225 AY2021/22

HTML 15.46% CSS 5.34% JavaScript 52.50% Python 26.70%

datalake's Introduction

Data Lake Project - Public Transport

Project for CS4225 Big Data Systems for Data Science AY2021/22.

Cloud Architecture

Folders in repository

Athena: SQL queries for athena table and queries
EMR: Pyspark scripts
Frontend: ReactJS
Lambda: 2 examples of lambda functions used.
Media: Screenshots and photos related to the project
Raw Data Examples S3: Example of a raw data output for each API

Grafana for Charts in the frontend

We used grafana to generate charts for visualization in the frontend.

Frontend

Graphs visualized and 2 layers (taxis and congestions) to toggle on/off.

System Monitoring

EMR Metrics exported to Prometheus and visualized in Grafana. 1 master, 2 core (slave) nodes were used.

datalake's People

Contributors

Watchers

Forkers

ongweisheng

datalake's Issues

ML & Data Transformation

Test out models and algorithms, time series predictions. (basic stuff)
Decide on data transformation (how processed data should look like, as well as if fronend is ok with it).

AWS Setup (Grafana)

Test embedding charts, check how to output to frontend
Test with prometheus for system monitoring

Algo/Logic

Crowdedness: from a point of time of data, how to derive the crowdedness
Prediction: use what algo to predict.

What are some of the analysis we want to do? What areas? etc

Spark

Spark has an ML library
End goal is to get from raw to processed
Write out logic

Notes:
Spark 2.4.8 on Hadoop 2.10.1 YARN and Zeppelin 0.10.0

Frontend

Input Json format:

{
  "type": "Congestion Layer",
  "features": [
    {
      "geometry": {
        "type": "LineString",
        "coordinates": [
          [103.858333937416, 1.3559533317473, 0.0],
          [103.858215578815, 1.355816304599, 0.0],
          [103.858116866331, 1.35575566979974, 0.0],
          [103.857992826192, 1.35571405765487, 0.0],
          [103.85787572257, 1.35572105501446, 0.0],
          [103.85778107993, 1.35577301170758, 0.0],
          [103.857716551157, 1.35585094776557, 0.0],
          [103.857586091965, 1.35610979081088, 0.0]
        ]
      },
      "type": "Feature",
      "properties": { "Level": 2 }
    },
    {
      "geometry": {
        "type": "LineString",
        "coordinates": [
          [103.857586091965, 1.35610979081088, 0.0],
          [103.857404406124, 1.35688247969145, 0.0],
          [103.857375904766, 1.35727093700206, 0.0],
          [103.857419882646, 1.35766252359057, 0.0],
          [103.857535269587, 1.35832639998177, 0.0]
        ]
      },
      "type": "Feature",
      "properties": { "Level": 2 }
    }
   ]
}

Embed dummy Grafana Graph

AWS Setup (EMR)

Test EMR with S3 & Athena with S3

Setup proper flow of data first with a working example

Look into how to avoid re-reading old raw data

EMR Instance Cost

To look into and update just in case it's too expensive

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