ETL Testing and Data Quality Management for beginners with practical exercises and certificate of completion.
InstructorLorenz D.
Coupon
The curriculum provides structured exercises centered on monitoring specific data quality dimensions such as completeness, uniqueness, and integrity through database views.
Instruction includes building database connections and creating specific dashboards for data profiling and monitoring.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This course overview slide outlines the syllabus structure, covering topics from ETL/ELT testing basics to practical exercises on building database views and dashboards for monitoring.
This slide outlines the intended audience for the course, targeting students, analysts, engineers, and managers seeking to learn about ETL testing and data quality standards.
Learners have noted a lack of guidance for configuring PostgreSQL, setting up DBMS tools like PgAdmin, or importing data via CSV files.
Learners have noted a lack of guidance for configuring PostgreSQL, setting up DBMS tools like PgAdmin, or importing data via CSV files.
The curriculum aligns with the target audience's goals, but missing setup guidelines impact suitability for absolute beginners.