Data Quality Fundamentals

Understand key concepts, principles and terminology related to Data Quality.

Created by: Sid Inf
Data/ETL Architect

What Will I Learn?

• Determine data quality requirements by studying business functions, gathering information, evaluating output requirements and formats.
• Profile select data sets to ensure quality and develop the data visualizations necessary to both manage and communicate data quality.
• Coordinate business efforts to deliver data that is fit for use for use in critical processes, analysis and reports.
• Collaborate with business application team to document information architecture requirements as needed
• Serve as a subject matter expert and perform data quality related functions for urgent, high visibility, high profile, and strategic projects while meeting challenging deadlines.

Requirements

• Basic understanding of Enterprise Data Management
• Basic understanding of Data Warehouse Concepts

Target audience

• Data Scientists
• Solution Architects
• Big Data Developers/Administrator
• Data Quality Consultants
• Data Analysts
• Data Stewards
• Project Managers
• ETL Developers
• ETL Testers