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Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
This Spark Starter Kit course will provide students with the skills and knowledge to understand the core fundamentals of Spark. Students will learn why Spark is needed when Hadoop is available, the need for RDD, how Spark is faster than Hadoop, how Spark achieves speed and efficiency, how memory is managed in Spark, and how fault tolerance works in Spark. Additionally, students will gain an understanding of the common questions asked in websites like stackoverflow and other forums when learning Spark.


Contribution to Professional Growth:
This Spark Starter Kit course contributes to professional growth by providing a comprehensive understanding of the foundational concepts of Spark. It covers topics such as why Spark is needed when Hadoop is available, how Spark achieves speed and efficiency, how memory is managed in Spark, and how fault tolerance works. By understanding these topics, professionals can gain a better understanding of how to use Spark in their work and how to maximize its potential.


Suitability for Further Education:
This Spark Starter Kit course is suitable for preparing further education as it provides a strong foundation in Spark. It covers topics such as why Spark is needed when Hadoop is available, how Spark is faster than Hadoop, how Spark achieves speed and efficiency, how memory is managed in Spark, and how fault tolerance works in Spark. These topics are essential for understanding the fundamentals of Spark and will be beneficial for further education.

Course Syllabus

Get Set GO !

Introduction to Spark

RDD - Core of Spark

Execution in Spark (Behind the scenes)

2 important concepts in Spark

A short chapter on Scala