Spark Scala Real-World Coding Frameworks and Testing

Spark Scala Real-World Coding Frameworks and Testing udemy course free download

Spark Scala Framework, Hive, IntelliJ, Maven, Logging, Exception Handling, log4j, ScalaTest, JUnit

This course bridges the gap between academic learning and real-world application, preparing you for an entry-level Big Data Spark Scala Developer role. You'll gain hands-on experience with industry best practices, essential tools, and frameworks used in Spark development.

What You’ll Learn:

• Spark Scala Coding Best Practices – Write clean, efficient, and maintainable code

• Logging – Implement logging using Log4j and SLF4J for debugging and monitoring

• Exception Handling – Learn best practices to handle errors and ensure application stability

• Configuration Management – Use Typesafe Config for managing application settings

• Development Setup – Work with IntelliJ and Maven for efficient Spark development

• Local Hadoop Hive Environment – Simulate a real-world big data setup on your machine

• PostgreSQL Integration – Read and write data to a PostgreSQL database using Spark

• Unit Testing – Test Spark Scala applications using JUnit, ScalaTest, FlatSpec & Assertions

• Building Data Pipelines – Integrate Hadoop, Spark, and PostgreSQL for end-to-end workflows

• Bonus – Set up Cloudera QuickStart VM on Google Cloud Platform (GCP) for hands-on practice

Prerequisites:

• Basic programming knowledge

• Familiarity with databases

• Introductory knowledge of Big Data & Spark

This course provides practical, hands-on training to help you build and deploy real-world Spark Scala applications. By the end of this course, you’ll have the confidence and skills to build, test, and deploy Spark Scala applications in a real-world big data environment.