https://github.com/wazzabeee/pyspark-etl-twitter

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake
https://github.com/wazzabeee/pyspark-etl-twitter

delta-lake docker etl etl-pipeline etl-process kafka kafka-consumer kafka-producer kafka-streams mongodb nlp pyspark python sentiment-analysis spark spark-streaming tweet-analysis tweet-classification twitter twitter-sentiment-analysis

Last synced: about 2 months ago
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Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

• Host: GitHub
• URL: https://github.com/wazzabeee/pyspark-etl-twitter
• Owner: Wazzabeee
• Created: 2023-01-11T21:13:55.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-06T13:50:52.000Z (over 1 year ago)
• Last Synced: 2024-10-12T16:27:54.074Z (3 months ago)
• Topics: delta-lake, docker, etl, etl-pipeline, etl-process, kafka, kafka-consumer, kafka-producer, kafka-streams, mongodb, nlp, pyspark, python, sentiment-analysis, spark, spark-streaming, tweet-analysis, tweet-classification, twitter, twitter-sentiment-analysis
• Language: Python
• Homepage: https://medium.com/towards-artificial-intelligence/real-time-sentiment-analysis-with-docker-kafka-and-spark-streaming-952c06549de1
• Size: 3.37 MB
• Stars: 16
• Watchers: 3
• Forks: 4
• Open Issues: 0

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