April 2018
Beginner to intermediate
3h 20m
English
Closed Captioning available in English
Overview
In this 3 hr course, you will master the essentials of Apache Spark and learn to develop Spark applications using Java. Through more than 10 hands-on examples, you'll explore big data analysis techniques and gain practical skills to handle real-world projects.
What I will be able to do after this course
- Understand the Apache Spark framework and its architecture.
- Learn to use RDDs and Spark SQL for big data computation.
- Develop and deploy Spark applications on AWS EMR.
- Explore advanced topics like Spark optimization and performance tuning.
- Gain hands-on experience with real-world data analysis scenarios.
Course Instructor(s)
James Lee, a seasoned software engineer and big data expert, has extensive experience in developing scalable data processing systems. With years of experience teaching others and a talent for breaking down complex concepts, James ensures learners gain both theoretical understanding and practical skills.
Who is it for?
This course is perfect for software engineers aiming to learn big data processing with Apache Spark. It's also ideal for data scientists or engineers looking to enhance their skills to handle large-scale datasets effectively. Beginners with a programming background looking to venture into big data will also benefit. Overall, it's suited for anyone motivated to master industry-relevant Spark techniques.
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