Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.
This course is part of the Functional Programming in Scala Specialization
About this Course
Skills you will gain
- Scala Programming
- Big Data
- Apache Spark
Syllabus - What you will learn from this course
Getting Started + Spark Basics
Reduction Operations & Distributed Key-Value Pairs
Partitioning and Shuffling
Structured data: SQL, Dataframes, and Datasets
- 5 stars73.04%
- 4 stars21.08%
- 3 stars4.38%
- 2 stars0.66%
- 1 star0.81%
TOP REVIEWS FROM BIG DATA ANALYSIS WITH SCALA AND SPARK
Excellent overview of Spark, including exercises that solidify what you learn during the lectures. The development environment setup tutorials were also very helpful, as I had not yet worked with sbt.
Awesome course and awesome teacher! Nevertheless, to grasp the most of this course, you should do the previous 3 courses of the "Functional Programming in Scala" specialization.
It was really useful material. It would be really nice if there are more assignments to polish the materials we learn, but I am really satisfied with the course.
Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.
About the Functional Programming in Scala Specialization
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