October 2022
Beginner to intermediate
8h 56m
English
Closed Captioning available in English
Overview
In this 8 hr course, you will learn to analyze large datasets using Apache Spark with Scala, from understanding the basics to building hands-on projects. Through practical exercises and examples, you will master tools like RDDs, DataFrames, and EMR, empowering you to process big data efficiently.
What I will be able to do after this course
- Master the fundamentals of Apache Spark and Scala for big data processing.
- Develop distributed data processing scripts using Spark's RDD and DataFrame APIs.
- Gain hands-on experience with deploying Spark applications on a Hadoop cluster using EMR.
- Learn to implement real-time data analysis workflows using Spark Streaming and MLlib.
- Understand the application of Spark for handling and analyzing large-scale graph data.
Course Instructor(s)
Frank Kane, an ex-Amazon and IMDb senior engineer, brings his expertise in scalable systems and big data to this course. With years of teaching experience, he simplifies complex topics into manageable lessons, blending theoretical insights with practical implementation.
Who is it for?
This course is perfect for software developers with some programming knowledge looking to broaden their expertise in big data processing. Ideal for engineers seeking hands-on practice with Spark and Scala, the content addresses those aiming to handle scalable data workflows for professional applications.
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