Master building complete AWS Glue ETL Pipelines, Glue Data Quality, Glue Data Brew along with other AWS resources
InstructorData Soup
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This architectural diagram maps out the AWS Glue data integration suite alongside essential supporting services such as IAM, S3, and Amazon Athena.
This chart illustrates the fastest-growing tech occupations by year-over-year growth rate, highlighting Data Engineer as the top role with a 50% increase.
This bubble chart visualizes major companies such as Capital One, USAA, Amazon, and JPMorgan Chase, illustrating the widespread industry adoption of data engineering tools.
The curriculum covers diverse Glue components including Data Catalog, Streaming jobs, Data Quality, and DataBrew profiling.
Instruction includes setting up essential AWS resources like IAM, KMS, and S3 using CloudFormation templates.
Learners have reported missing CloudFormation templates required for specific lectures and a lack of detailed setup information for databases. Note that one such signal predates the displayed update date, so the update label does not prove a correction.
Signals suggest difficulties with rapid speech, articulation, and a lack of logical flow in explaining complex concepts.
The curriculum provides a broad overview but lacks deep PySpark instruction and detailed, end-to-end real-world examples.
The curriculum aligns with the target audience of data engineers and developers moving to AWS, covering necessary prerequisite services.