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.
How to download and setup RealtimeStreamingEngineering
Open terminal and run command
git clone https://github.com/airscholar/RealtimeStreamingEngineering.git
git clone is used to create a copy or clone of RealtimeStreamingEngineering repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with RealtimeStreamingEngineering https://github.com/airscholar/RealtimeStreamingEngineering/archive/master.zip
Or simply clone RealtimeStreamingEngineering with SSH
[email protected]:airscholar/RealtimeStreamingEngineering.git
If you have some problems with RealtimeStreamingEngineering
You may open issue on RealtimeStreamingEngineering support forum (system) here: https://github.com/airscholar/RealtimeStreamingEngineering/issuesSimilar to RealtimeStreamingEngineering repositories
Here you may see RealtimeStreamingEngineering alternatives and analogs
grafana elasticsearch FOSElasticaBundle crawler bookbrainz-site elastic4s elk-docker dev-setup zentral Opserver elasticsearch-HQ pipeline sentinl awesome-aws yii2-elasticsearch great-big-example-application gardening dejavu mirage kibana NewsBlur analysis-ik docker-elk elasticsearch-sql Linux-Tutorial searchkit elasticsearch-dump peek elastic vue-storefront