RealtimeStreamingEngineering

RealtimeStreamingEngineering

airscholar

This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka and Elasticsearch. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic and connection to elasticsearch.

elasticsearch kafka
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44 Stars
30 Forks
44 Watchers
Python Language
100 SrcLog Score
Cost to Build
$28.0K
Market Value
$42.1K
How is this calculated?

Growth over time

3 data points  ·  2025-09-16 → 2026-04-13
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What is the airscholar/RealtimeStreamingEngineering GitHub project? Description: "This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka and Elasticsearch. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic and connection to elasticsearch.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone RealtimeStreamingEngineering

Clone via HTTPS

git clone https://github.com/airscholar/RealtimeStreamingEngineering.git

Clone via SSH

[email protected]:airscholar/RealtimeStreamingEngineering.git

Download ZIP

Download master.zip

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