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Exploring the Essential Features of “Apache Spark 3 – Spark Programming in Scala for Beginners“
What you’ll learn:
- Apache Spark Foundation and Spark Architecture
- Data Engineering and Data Processing in Spark
- Working with Data Sources and Sinks
- Working with Data Frames, Data Sets, and Spark SQL
- Using IntelliJ Idea for Spark Development and Debugging
- Unit Testing, Managing Application Logs, and Cluster Deployment
Requirements:
- Programming Knowledge Using Scala Programming Language
- A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM
Description:
This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.
About the Course:
I am creating the Apache Spark 3 – Spark Programming in Scala for Beginners course to help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the needed concepts along the way.
Who should take this Course?
This course is designed for:
- Software engineers willing to develop a Data Engineering pipeline and application using Apache Spark.
- Data architects and data engineers responsible for designing and building the organization’s data-centric infrastructure.
- Managers and architects who do not directly work with Spark implementation but work with those who implement Apache Spark at the ground level.
Spark Version used in the Course:
This Course is using Apache Spark 3.x. All the source code and examples used in this Course have been tested on Apache Spark 3.0.0 open-source distribution.
Who this course is for:
- Software Engineers and Architects who are willing to design and develop Bigdata Engineering Projects using Apache Spark.
- Programmers and developers aspiring to grow and learn Data Engineering using Apache Spark.
Please see the full list of alternative group-buy courses available here: https://lunacourse.com/shop/
