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.
Author Name: Naveed Tauhid
Author Description:
Navidut (Naveed) Tauhid is an IT Consultant and Architect with more than 17 years of industry experience. He has deployed, maintained, and troubleshot numerous large-scale enterprise projects for many multinational companies. He has also provided training to thousands of IT students across the globe on various Unified Communication Products and helped them be their technical best. He is a certified CCIE Collaboration Written, CCNP Collaboration, Voicemail and Contact Center Specialist and CCNA R… more

Table of Contents

• Course Overview
  1min
• Evaluate Data Quality Best Practices
  24mins
• Evaluate Normalization Best Practices
  33mins