August 2022
Beginner to intermediate
6h 21m
English
Closed Captioning available in English
Overview
In this 6 hr course, you'll dive into streaming big data in real-time using Apache Spark. Learn how to process data streams, work with Spark SQL, and implement machine learning models for continuous optimization.
What I will be able to do after this course
- Implement real-time data processing pipelines using Spark Streaming.
- Write Scala programs to efficiently manage and analyze big data streams.
- Integrate Spark with data sources like Kafka and Flume for scalable operations.
- Query and maintain streaming data using advanced Spark SQL techniques.
- Package and deploy scalable Spark applications to production environments.
Course Instructor(s)
Frank Kane is a seasoned data scientist and instructor with over a decade of experience in big data technologies. He specializes in making complex concepts approachable and actionable, helping learners build practical skills through engaging, hands-on instruction.
Who is it for?
This course is designed for students and professionals in big data domains looking to develop expertise in real-time data processing. Familiarity with basic programming concepts will help you gain the most from the course. If you want to master Apache Spark for analyzing real-time data, this course is ideal for you.
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