airscholar / RealtimeStreamingEngineering

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.

Date Created 2023-10-28 (about a year ago)

Commits 2 (last one about a year ago)

Stargazers 29 (0 this week)

Watchers 3 (0 this week)

Forks 20

License unknown

Ranking

RepositoryStats indexes 579,555 repositories, of these airscholar/RealtimeStreamingEngineering is ranked #560,031 (3rd percentile) for total stargazers, and #420,420 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #110,526/115,123.

airscholar/RealtimeStreamingEngineering is also tagged with popular topics, for these it's ranked: chatgpt (#2,305/2496), kafka (#814/837), elasticsearch (#728/742), openai-api (#435/479), apache-spark (#105/108)

Other Information

airscholar/RealtimeStreamingEngineering has Github issues enabled, there is 1 open issue and 0 closed issues.

Homepage URL: https://www.youtube.com/watch?v=ETdyFfYZaqU

All Topics

kafka chatgpt openai-api tcp-socket apache-spark elasticsearch dataengineering

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2 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-10-29 @ 04:52pm, id: 711152714 / R_kgDOKmNUSg