explanation
Scala and Spark for big data and machine learning, the name of the curriculum framework Spark, a Scala language for big data and machine learning analytics along with dataframe Spark 2.0. In this course, you will learn how to use these two valuable technologies in today’s world and how to use them to analyze macro data. The course also comes with a full project, including using financial data analysis and machine learning to classify the behavior of e-store customers.
This tutorial covers the latest fundamentals, concepts, and tools in Spark 2.0, so you’ll also learn how to use SparkSQL, Spark DataFrames, and Spark’s MLlib. Topics in this course include the programming language Scala, etc. You can learn an overview of ecosystem big data and Spark, utilizing Spark’s MLlib for machine learning, expanding Spark application to utilize Amazon’s web services, learning how to use the platform, and learning about large data Databrick. By completing this course and mastering these two skills, you will be able to strengthen your resume and land a job in big data analytics.
What to learn
Using the Scala language for programming
DataFrames Reading and manipulating data using Spark 2.0
Process large datasets using Spark
How to use Spark on AWS and the DataBricks platform
This training is suitable for:
Anyone who is familiar with programming and interested in learning macro data technology
People interested in using the Spark framework and Scala language for machine learning and large data sets.
Scala and Spark profiles for big data and machine learning
Publisher: Udemy
Instructor: Jose Portilla
Language:English
Education level: Preparatory to advanced
Number of classes: 17 sections, 80 lessons
Duration: 10 hours 11 minutes
head season
precondition
- Basic programming knowledge in some language
- basic math skills
- english
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: English
Quality: 720p
download link
Password file: free download software
file size
1.18GB