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Apache Kafka Project: Real-Time Twitter Streaming with Python
- This article explains how to stream tweets between two services using Apache Kafka, with implementation details in Python.
- It also covers how to set up Kafka, Zookeeper, Elasticsearch, and Kibana using Docker.
- The project consists of creating a Kafka Producer to fetch tweets from the Twitter API and send them to Kafka, and a Kafka Consumer to retrieve tweets from Kafka and store them in Elasticsearch.
- The article highlights the importance of leveraging Apache Kafka for real-time data streaming and analytics.
- The project implementation also includes adding sentiment analysis to categorize tweets as positive, negative, or neutral and deploying the solution on cloud platforms.
- The code is available on the GitHub repository for readers to try and explore enhancements.
- The article requires Docker installed with Docker Compose, basic knowledge of Python, Docker, and Kafka, and a Twitter Developer Portal Account to generate the Bearer Token.
- The project demonstrates how to create a Kafka topic (twitter-stream) to stream tweets.
- The project implementation shows how to authenticate the Twitter API using the bearer token.
- The Kafka Producer fetches tweets every 30 seconds and sends them to Kafka under the twitter-stream topic.
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