Course
In this course, you will learn how to design a data governance solution that meets your company’s needs. First, you will learn about the different types of metadata and how to build a Metadata Management System, Enterprise Data Model, and Enterprise Data Catalog. Next, you will learn how to perform data profiling using various techniques including data quality dimensions, how to identify remediation options for data quality issues, and how to measure and monitor data quality using data quality scores, thresholds, dashboards, exceptions, and trend reports. Finally, you will learn the concepts of Master Data and golden record, different types of Master Data Management Architectures, as well as the golden record creation and master data governance processes.
In this course, you will learn how to design a data governance solution that meets your company’s needs. First, you will learn about the different types of metadata and how to build a Metadata Management System, Enterprise Data Model, and Enterprise Data Catalog. Next, you will learn how to perform data profiling using various techniques including data quality dimensions, how to identify remediation options for data quality issues, and how to measure and monitor data quality using data quality scores, thresholds, dashboards, exceptions, and trend reports. Finally, you will learn the concepts of Master Data and golden record, different types of Master Data Management Architectures, as well as the golden record creation and master data governance processes.
Advanced
4 weeks
Real-world Projects
Completion Certificate
Last Updated April 17, 2023
Lesson 1
This lesson will give you an introduction to data governance and a high level overview of the course. You will be introduced to the importance of data governance, stakeholders and some tools you will be using in the course.
Lesson 2
In this lesson, you will learn principles of metadata management such as concepts of metadata, metadata management system and enterprise data models. We will learn how to build an enterprise data model and a metadata management system as well as the different people and processes involved in the effective setup and maintenance of a Metadata Management System.
Lesson 3
This lesson covers all aspects and best practices for Data Quality Management. You will learn techniques for profiling data and identifying data quality issues, how to perform data cleansing and how to prevent data errors from occuring in the first place in the source systems. You will also learn how to set up targets, measure data quality and create data quality dashboards and trend reports.
Lesson 4
In this lesson we will learn about what is master data, master data management lifecycle and different types of master data management architectures. You will also learn how to define and create a golden record and how to manage reference data. We will also cover the role of data stewards which is key to the set up and maintenance of a master data management solution.
Lesson 5 • Project
In this project, you will help SneakerPark, an online shoe reseller, implementing data governance solutions using the knowledge you have learned from this course.
Founder & Principal Data Architect
Vijaya is the Founder and Principal Data Architect for Great View Data Corp., which provides Data Architecture consulting and implementation services. Vijaya has extensive experience with creating architecture strategy and roadmaps, establishing frameworks and best practices, and Data Management.
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Data Governance
