Save for later
Big Data Analysis with Scala and Spark (Scala 2 version)
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.
Learning Outcomes. By the end of this course you will be able to:
- read data from persistent storage and load it into Apache Spark,
- manipulate data with Spark and Scala,
- express algorithms for data analysis in a functional style,
- recognize how to avoid shuffles and recomputation in Spark,
Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.
Note that this version of the course uses Scala 2.13. You can find a more recent version of the course that uses Scala 3 here: https://www.coursera.org/learn/scala-spark-big-data
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 5 hours / week |
Starts | Jun 26 (44 weeks ago) |
Cost | $79 |
From | École polytechnique fédérale de Lausanne via Coursera |
Instructor | Prof. Heather Miller |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Algorithms |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Assistant Camera Operator, Graphics, Scala $44k
Calling ALL OOP developers - Java, Scala, JavaScript, AngularJS $51k
Camera Operator, Graphics, Scala $70k
Full Stack Scala Engineer $76k
Corporate Technology- Scala/Spark/Hadoop Engineer $76k
Developer - Java/Scala $93k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 5 hours / week |
Starts | Jun 26 (44 weeks ago) |
Cost | $79 |
From | École polytechnique fédérale de Lausanne via Coursera |
Instructor | Prof. Heather Miller |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Algorithms |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course