This is the code repository for Data Stream Development with Apache Spark, Kafka, and Spring Boot [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Learn to build a data stream pipeline using Apache Spark and Kafka from scratch. Start with a blueprint architecture: developing a completely functional data streaming pipeline. With live coding sessions, get hands-on with architecting every tier of the pipeline.
- Attain a solid foundation in the most powerful and versatile technologies involved in data streaming: Apache Spark and Apache Kafka
- Form a robust and clean architecture for a data streaming pipeline
- Implement the correct tools to bring your data streaming architecture to life
- Isolate the most problematic tradeoff for each tier involved in a data streaming pipeline
- Query, analyze, and apply machine learning algorithms to collected data
- Display analyzed pipeline data via Google Maps on your web browser
- Discover and resolve difficulties in scaling and securing data streaming applications
To fully benefit from the coverage included in this course, you will need:
No prior knowledge required
This course has the following software requirements:
- Java 8
- OpenSSL installed (optional)
- Java compatible IDE (e.g., Visual Studio Code, NetBeans, etc)
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