Udemy – Scala and Spark for Big Data and Machine Learning 2019-9

Description

Scala and Spark for big data and machine learning, name of the training framework Spark, and the Scala language for big data analysis and machine learning and data framework Spark 2.0 . In this course you will learn how to leverage these two valuable skills in today’s world and use them to analyze macro data. This course also includes complete projects that include analyzing financial data and using machine learning to classify the behavior of an electronics store’s customers.

This tutorial covers the latest Spark 2.0 fundamentals, concepts, and tools, so you’ll also become familiar with using SparkSQL, Spark DataFrames, and Spark’s MLlib. Topics in this course include Scala programming language, etc. Overview of Big Data and Spark ecosystem, How to use Spark’s MLlib for machine learning, Extend Spark application to use Amazon’s web service, Learn how to use the platform, Big Data Databrick and many other hints. By completing this course and mastering these two skills, you can use it to strengthen your resume and be employed in the field of big data analysis.

What things to learn

Use Scala language for programming
Use Dataframe Spark 2.0 to read and manipulate data
Use Spark to process huge data sets
How to use Spark on AWS and DataBricks platforms

This training is suitable for people who:

People who are familiar with programming and also interested in learning macro data technologies
People interested in using the Spark framework and Scala language for machine learning and large datasets

Profile of Scala and Spark for Big Data and Machine Learning

Publisher: Udemy
Lecturer: Jose Portilla
Language: English
Training level: from preliminary to advanced
Number of lessons: 80 lessons in 17 sections
Duration: 10h 11m