Master real-time data processing with Spark 3, Scala, and Spark Streaming. Learn integration with Kafka, Flume, and production deployment.
Master real-time data processing with Spark 3, Scala, and Spark Streaming. Learn integration with Kafka, Flume, and production deployment.
This comprehensive course takes you from fundamentals to advanced real-time data processing with Spark Streaming. Starting with environment setup, you'll dive into streaming live Twitter data before mastering Scala essentials. The curriculum covers core Spark concepts, including RDDs and windowing mechanisms, followed by practical applications with Twitter and Apache logs. Advanced topics include integration with Kafka, Flume, and Cassandra, plus machine learning implementation. The course culminates in production deployment techniques, ensuring you're ready to build and maintain robust streaming applications.
Instructors:
English
What you'll learn
Implement Spark Streaming applications for real-time data processing
Master Scala programming fundamentals for Spark development
Integrate Spark Streaming with Kafka, Flume, and Cassandra
Develop real-time machine learning applications with K-means clustering
Deploy and optimize Spark Streaming applications in production
Implement fault-tolerant streaming solutions
Skills you'll gain
This course includes:
337 Minutes PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 8 modules in this course
This advanced course provides a comprehensive exploration of real-time data processing using Spark Streaming and Scala. Beginning with development environment setup, students progress through Scala fundamentals to advanced Spark Streaming concepts. The curriculum covers essential topics including RDDs, windowing mechanisms, and integration with various systems like Kafka and Flume. Students gain hands-on experience with real-world examples, from Twitter data analysis to Apache log processing. The course concludes with production deployment strategies and performance optimization techniques.
Getting Started
Module 1 · 37 Minutes to complete
A Crash Course in Scala
Module 2 · 1 Hours to complete
Spark Streaming Concepts
Module 3 · 1 Hours to complete
Spark Streaming Examples with Twitter
Module 4 · 38 Minutes to complete
Integrating with Other Systems
Module 5 · 54 Minutes to complete
Advanced Spark Streaming Examples
Module 6 · 42 Minutes to complete
Spark Streaming in Production
Module 7 · 1 Hours to complete
You Made It!
Module 8 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
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