Realtime Voting System - End-to-End Data Engineering Project

Realtime Voting System - End-to-End Data Engineering Project

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Introduction

1 of 16

1 of 16

Introduction

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Realtime Voting System - End-to-End Data Engineering Project

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  1. 1 Introduction
  2. 2 The Election Flow
  3. 3 The System Architecture
  4. 4 Setting up the Project
  5. 5 The docker compose for the system architecture
  6. 6 Candidate, Party and Voters Accredditation
  7. 7 Voting System
  8. 8 Streaming votes from/to Kafka
  9. 9 Reading Voting Data Streams from Kafka with Pyspark
  10. 10 Spark Data preprocessing
  11. 11 Spark Aggregations
  12. 12 Writing aggregated data back to kafka
  13. 13 Realtime Votes Dashboard with Streamlit
  14. 14 Results and Live commentaries
  15. 15 Winner of the Election
  16. 16 31 Outro

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