Data normalization best practices are essential for organizing and standardizing data effectively.
In this course, you will gain an understanding of data quality dimensions, roles and responsibilities, and best practices for ensuring data quality.
Enterprises struggle with data quality issues and seek data normalization for more effective data management. In this course, Data Governance: Understanding Data Quality and Normalization, you’ll gain the ability to understand and apply best practices for ensuring data quality and normalization. First, you’ll explore data quality dimensions, including key concepts, principles, and terminology related to data quality. Then, you'll learn about the impact of poor data quality and the roles and responsibilities of data governance. Next, you’ll explore data normalization importance and best practices, the process of standardizing, and how to organize data effectively. Finally, you'll briefly see the implementation of normalization techniques. When you’re finished with this course, you’ll have the skills and knowledge of data quality and normalization best practices needed to identify, monitor, and resolve data quality issues, as well as to apply data normalization best practices to your work.
In this course, you will gain an understanding of data quality dimensions, roles and responsibilities, and best practices for ensuring data quality.
Enterprises struggle with data quality issues and seek data normalization for more effective data management. In this course, Data Governance: Understanding Data Quality and Normalization, you’ll gain the ability to understand and apply best practices for ensuring data quality and normalization. First, you’ll explore data quality dimensions, including key concepts, principles, and terminology related to data quality. Then, you'll learn about the impact of poor data quality and the roles and responsibilities of data governance. Next, you’ll explore data normalization importance and best practices, the process of standardizing, and how to organize data effectively. Finally, you'll briefly see the implementation of normalization techniques. When you’re finished with this course, you’ll have the skills and knowledge of data quality and normalization best practices needed to identify, monitor, and resolve data quality issues, as well as to apply data normalization best practices to your work.
