Udemy – Apache Spark In-Depth (Spark with Scala) 2021-5 – Download

Explanation

Apache Spark In-Depth (Spark with Scala) is a training course on Apache Spark with Scala programming language, published by Udemy Academy. This educational course is a social and practical project, but the topics discussed can be very helpful in job interviews. In this training course, he starts his work with small programs such as word count and then reaches more complex programs such as Batch Processing and Spark Structure Streaming. Among the main topics covered in this training course, we can mention the development and implementation of Spark applications and their debugging, optimization and general efficiency (Performance tuning), etc. It is worth noting that this training course does not require any prerequisite knowledge.

Apache Spark is an integrated analytics engine for big data processing that offers a variety of capabilities with pre-built components. In these parts, we can refer to the data flow module, SQL, engine and graphics.

What you will learn in Apache Spark In-Depth (Spark with Scala):

Apache Spark big data analysis engine
Batch processing
performance improvement
Questions and topics raised in job interviews
And…

Course guidelines

Publisher: Udemy
Instructors: Harish Masand
Language: English
Level: Introductory to Advanced
Number of Lessons: 25
Duration: 40 hours and 37 minutes

Course topics 2021/10

Deep Apache Spark (Spark with Scala)

Apache Spark In-Depth (Spark with Scala) Requirements

No prerequisites are required. Interest in learning new technologies.
Good to know: Hadoop Basics and Scala Basics.
Best if you have completed the 2 data engineering courses below: “Big Data Hadoop and Spark with Scala” and “Scala Programming In-Depth”