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CourseraScalaFree courseBeginner levelCertificate

Big Data Analysis with Scala and Spark

4.6
398 reviews

Created by: Prof. Heather Miller

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Overall Score : 92 / 100

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Course Description

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 alysis in a functiol 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.
Read More Beginner Beginner Level product length iconTime: 6h

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Instructor Details

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Heather Miller is an assistant professor in Carnegie Mellon University's School of Computer Science. Previously, she was a research scientist at EPFL, and the co-founder and executive director of the Scala Center.

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Reviews

4.6

398 reviews in total

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By Nikhil R on 9-Nov-19

Helpful for anyoe who wants to start with basics of Spark

By Zhenhua w on 30-Oct-19

The lecture is well-organizedand excellent

By Harshad H on 30-Oct-19

Best Course for Big Data Learning in the World

By TAZI E G on 28-Oct-19

really good material, well explained with many examples.maybe more information or precisions should be added to the assignments but good material and explanations

By Yuri R on 24-Oct-19

Liked the course. Wasn't familiar with spark before

By Kyle A on 23-Oct-19

Very real examples for the exercises and a great way to learn Spark!

By YEHOUENOU on 20-Oct-19

This course allows me to learn so many things about data analysys and Big data modeling.

By Zeb S on 16-Oct-19

I worked with PySpark professionally, and this helped add some depth to my knowledge of Spark as well as give me a chance to translate those skills to Scala.

By Sergio R P on 30-Sep-19

The assignments are very confusing and unexplained. They do not take long to reply to the forum.

By Khaled J A on 28-Sep-19

this is an outstanding course to learn BIg data with scala and spark

By Joaquin D R on 25-Sep-19

Incredible tutorial!!!!!!!!!! I love it

By Santiago A on 23-Sep-19

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.

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Big Data Analysis with Scala and Spark
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  • Video Duration: icon 6h
  • Price: Free
  • Provider: icon Coursera
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes

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