Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Kafka consumer application which reads messages from Kafka and based on the schema registered in a schema registry and enriches the data. This is just a prototype on how we can efficiently evolve a schema and read messages with BACKWARD compatibility with out breaking the consumers. This application can be used as a base for a stateless stream processing application which would involve processing one event at a time or filtering though a stream of events.
This project aims to build a streaming application to perform real-time analytics of Covid-19 related tweets and deploy an ML model for real-time sentiment predictions.
Construct a streaming event pipeline around Apache Kafka and its ecosystem. Using public data from the Chicago Transit Authority, we will construct an event pipeline around Kafka that allows us to simulate and display the status of train lines in real time.