A Step by Step Hands-on Guide to prepare for Databricks Certified Associate Developer for Apache Spark using Pyspark
InstructorDurga Viswanatha Raju Gadiraju
The curriculum covers essential DataFrame operations including selecting, renaming, filtering, sorting, and aggregating data.
Instruction includes notebooks and datasets to facilitate hands-on practice with Spark operations.
Current Databricks environments have changed, rendering the course's cluster creation steps and DBFS file paths non-functional. One signal suggests these setup instructions are outdated.
Learners have noted excessive verbal repetition of specific terms and a rapid speaking pace that may require speed adjustments.
The curriculum lacks coverage of advanced topics such as Spark Streaming or deep performance troubleshooting.
The curriculum aligns with the target audience of Python developers and data engineers seeking certification.