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12/31/2020
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Scala and Spark for Big Data and Machine Learning is the name of the Spark framework training course and Scala language for big data analysis and machine learning along with Spark 2.0 data frames. In this course, you will learn how to use these two very valuable and needed skills in today's world and use them for big data analysis. This course is accompanied by complete projects that include financial data analysis and the use of machine learning to classify the behavior of customers in an e-shop.
This tutorial comes with the latest principles, concepts and tools of Spark 2.0 so you can learn how to use SparkSQL, Spark DataFrames and Sparks MLlib. Topics in this course include Scala programming, an overview of the big data ecosystem and Spark, using Spark's MLlib for machine learning, expanding Spark to use Amazon web services, learning how to use the Databrick big data platform, and much more. Another pointed out. By completing this course and mastering these two skills, you can use them to strengthen your resume and get hired in the field of big data analysis.
Use the Scala language for programming
Use Spark 2.0 data frames to read and manipulate data
Use Spark to process large data sets
How to use Spark on AWS and DataBricks platforms
People who are familiar with programming and are also interested in learning big data technologies
People interested in using the Spark framework and Scala language for machine learning and massive data sets
Publisher: Udemy
Instructor: Jose Portilla
English language
Level of training: from basic to advanced
Number of lessons: 80 lessons in 17 sections
Duration: 10h 11m
Basic Programming Knowledge in some language
Basic Math Skills
English Language
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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