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Apache Spark with Scala – Hands On with Big Data! online course has been taught by Frank Kane on Udemy, this course is an excellent way to learn Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop.

Introduction to The Apache Spark with Scala – Hands On with Big Data Course

This course is perfect for software engineers who want to expand their skills into the world of big data processing on a cluster.
If you have no previous programming or scripting experience, you’ll want to take an introductory programming course first.

After completing the course, you’ll
Be able to build, deploy, and run Spark scripts on Hadoop clusters
Be able to transform structured data using SparkSQL, DataSets, and DataFrames
Be able to develop distributed code using the Scala programming language
Be able to Optimize Spark jobs through partitioning, caching, and other techniques
Be able to frame big data analysis problems as Apache Spark scripts
Be able to analyze massive data set with Machine Learning on Spark
Be able to process continual streams of data with Spark Streaming
Be able to traverse and analyze graph structures using GraphX

Course Name: Apache Spark with Scala – Hands On with Big Data!
Description: Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
Author: Sundog Education by Frank Kane, Frank Kane
Rating: As of 10/2020… 4.5 (11,970 ratings) and 61,856 students enrolled
Language: English
Includes: 9 hours of video, 1 articles, and 67 lectures
Course Type: Self Paced Online Course. Lifetime Access

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