By the end of this course, learners will be able to set up a Scala development environment, structure a real-world data project, configure build dependencies, ingest employee data from CSV files, and persist and retrieve data using relational databases. Learners will also be able to apply JDBC-based connectivity and follow best practices for scalable and maintainable data processing workflows in Scala.
Implement Employee Data Analysis Using Scala
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Set up a Scala project and configure build dependencies.
Ingest CSV employee data and persist records using JDBC.
Design scalable Scala workflows for database-driven data processing.
Details to know
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Recently updated!
February 2026
Assessments
7 assignments
Taught in English
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There are 2 modules in this course
This module introduces learners to the overall course objectives and guides them through setting up the development environment for a Scala-based employee data analysis project. Learners explore installation steps, establish a clean project structure, review employee datasets, and configure the build system to support scalable and maintainable development.
What's included
6 videos4 assignments
This module focuses on enabling data access and processing capabilities within the Scala project. Learners configure required dependencies, establish database connectivity using JDBC, implement CSV file reading from the classpath, and persist employee data into a relational database for retrieval and analysis.
What's included
5 videos3 assignments
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