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MOOC

Big Data Analysis with Scala and Spark

Description

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.

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