Master Apache Spark Programming in Scala - Recreated for 2026
InstructorPrashant Kumar Pandey
Instruction covers essential transformations including column manipulation, filtering, and complex aggregations such as windowing.
The curriculum includes setup for Databricks clusters and remote connectivity via Spark Connect.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This frame displays the IntelliJ IDEA interface with Scala code for managing Spark SQL tables alongside console output confirming the successful creation of a managed table.
The curriculum lacks coverage of caching strategies and performance tuning techniques. One signal from late 2023 suggests these are missing, though the February 2026 update does not prove they have been added.
One signal indicates that the final section may be missing necessary demo files.
A mismatch exists between the 'beginner' title and the instructor's requirement for existing Scala knowledge, as noted in a pre-update signal from early 2024; while the February 2026 update may have addressed this, it does not prove a correction.