Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.
InstructorDurga Viswanatha Raju GadirajuInstruction includes hands-on examples covering Spark, Delta Lake, and Auto Loader to bridge theory with practical application.
The curriculum details setting up Azure Databricks workspaces, ADLS storage, and AWS S3/IAM roles for cloud-agnostic development.
One signal suggests the Databricks user interface has changed significantly since the content was recorded, which may cause friction during practical application.
A significant portion of the instruction focuses on general cloud and PySpark fundamentals rather than concentrated Databricks-specific technical depth.
The curriculum aligns with the target audience of beginners, but some experienced engineers may find the initial setup modules too basic.
