Jamie Allen
Biography of instructor/staff member #1
🚀 Master the language of AI with our brand new course: "Prompt Engineering for Everyone" Learn more
The “Spark Overview for Scala Analytics” course will cover the history of Spark and how it came to be, how to build applications with Spark, establish an understanding of RDDs and DataFrames, and other advanced Spark topics. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing. Having finished this class, a student would be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets. This course is meant to be an overview of Spark and its associated ecosystem. For deeper understanding of Spark, we recommend that students take the Spark Fundamentals courses I and II.
Continue readingCourse
11k+ EnrolledThe “Spark Overview for Scala Analytics” course will cover the history of Spark and how it came to be, how to build applications with Spark, establish an understanding of RDDs and DataFrames, and other advanced Spark topics. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing. Having finished this class, a student would be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets. This course is meant to be an overview of Spark and its associated ecosystem. For deeper understanding of Spark, we recommend that students take the Spark Fundamentals courses I and II.
The “Spark Overview for Scala Analytics” course will cover the history of Spark and how it came to be, how to build applications with Spark, establish an understanding of RDDs and DataFrames, and other advanced Spark topics. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing. Having finished this class, a student would be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets.
This course is meant to be an overview of Spark and its associated ecosystem. For deeper understanding of Spark, we recommend that students take the Spark Fundamentals courses I and II.
There are 5 modules to this course.
1. What is Spark
2. Introduction to RDDs
3. Introduction to DataFrames
4. Advanced Spark Topics
5. Introduction to Spark MLlib
1.Taken the Introduction to Scala Course
2. Experience with Java (preferred), Python, or another object oriented language
3. No previous Spark knowledge is required
4. No previous experience with Data Science concepts is required. These concepts will be explained as needed
Biography of instructor/staff member #1
The Open edX platform works best with current versions of Chrome, Firefox or Safari, or with Internet Explorer version 9 and above.
See our list of supported browsers for the most up-to-date information.