Sean Murdock
Professor at Brigham Young University Idaho
Streaming API Development and Documentation
In this course you will grow your expertise in the components of streaming data systems, and build a real time analytics application. Specifically, you will be able to identify components of Spark Streaming (architecture and API), build a continuous application with Structured Streaming, consume and process data from Apache Kafka with Spark Structured Streaming (including setting up and running a Spark Cluster), create a DataFrame as an aggregation of source DataFrames, sink a composite DataFrame to Kafka, and visually inspect a data sink for accuracy.
- Course
- Advanced
- 12 hours
- Updated: Apr 30, 2026
Subscription · Monthly
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- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
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Skills you'll learn
5 skills
- JSON
- Kafka basics
- Kafka connect
- Base64
- Apache Spark
Prerequisites
3 prerequisites
Prior to enrolling, you should have the following knowledge:
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 5 lessons
- 1 project
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Sean Murdock
Professor at Brigham Young University Idaho
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates