Learn Azure Databricks for professional data engineers using PySpark and Spark SQL with an end-to-end capstone project
InstructorLearning JournalEditorial course preview
This view highlights a concrete, legible example from the course presentation.
This course outline details twelve technical modules covering Azure Databricks features like Unity Catalog and Delta Live Tables, concluding with a capstone project breakdown.
Instruction provides useful depth on production behaviors, such as how Autoloader handles schema evolution and retry mechanisms.
The curriculum spans essential Databricks features including Unity Catalog provisioning, Delta Lake optimization, and DLT pipelines.
Multiple signals indicate that several methods, such as specific storage mounting configurations, are legacy. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove a correction has been made.
Multiple signals indicate that several methods, such as specific storage mounting configurations, are legacy. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove a correction has been made.
The curriculum aligns well with the stated goals of data engineers and architects working within the Azure ecosystem.
