Spark 3.0 Big Data Essentials with Scala Rock the JVM, the period of educational site Udemy is that the topics preliminary system calculating کلاستری version 3 of Spark and big data by programming language, object-oriented and functional Scala shows. Also this course includes special training of Java Virtual Machine (JVM)
In this course you will learn how to write big data applications using Apache Spark 3 and Scala. After completing this course and pay attention to the tips provided to you over 2000 lines of code spark to write and to be a star in the field of big data can become sure.
This course is for Scala beginner programmers who are in the infancy of learning big data and Apache Spark. Therefore, it should be noted that this is not an advanced course. If you are a data science researcher, programmer interested in the macro field of data and engineering that you would like to learn spark in Scala, this course is provided for you!
Items taught in this course:
Applying the basics of big data in Spark
Learning how to process data with Spark Datasets
Use of Spark SQL in data processing
Practice and teach how to use Spark DataFrames operations with over 100 examples and exercises
Data migration from different information sources includes data banks
Lecturer: Daniel Ciocîrlan
Duration: 7h 17m
Number of lessons: 25 lessons
Course headlines Spark 3.0 & Big Data Essentials with Scala Rock the JVM
Scala fundamentals, at the level of the Rock the JVM beginners course
Scala advanced – implicits
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