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| Data Quality Fundamentals |
Managing data quality is a never ending process. Even if a company gets all the pieces in place to handle today’s data quality problems, there will be new and different challenges tomorrow. That’s because business processes, customer expectations, source systems, and business rules all change continuously. To ensure high quality data, companies need to gain broad commitment to data quality management principles and develop processes and programs that reduce data defects over time.
Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. This course helps you understand key concepts, principles and terminology related to data quality and other areas in data management.
Who this course is for:
- Data Scientists
- Solution Architects
- Big Data Developers/Administrator
- Data Quality Consultants
- Data Analysts
- Data Stewards
- Project Managers
- ETL Developers
- ETL Testers
- Get the course
