Learn how to design a data governance solution that meets an enterprise’s needs.
Overview
Syllabus
- Introduction to Data Governance
- Understand what data governance is and its importance and learn about the different disciplines of data governance. Understand the different stakeholders involved in data governance projects.
- Metadata Management
- Understand the different types of metadata as well as the components and capabilities of a metadata management system. Create conceptual and logical enterprise data models and create an enterprise data catalog.
- Data Quality Management
- Perform data profiling using various techniques using data quality dimensions. Identify remediation options for data quality issues. Measure data quality using data quality scores and thresholds. Monitor data quality using dashboards, exception, and trend reports.
- Master Data Management
- Understand the concepts of master data and golden record. Understand different types of master data management architectures. Create a golden record using various match and merge techniques. Understand data governance processes for authoring, monitoring, and approval of master data.
- Course Project: Data Governance at SneakerPark
- Implement data governance solutions for an online shoe reseller to better manage their data now and in the future. Create an enterprise data model that provides a holistic view of all the data in their systems. Next document the metadata in an enterprise data catalog and profile the
data in their systems to identify data quality issues, suggest remediation strategies for each of these issues, and design a data quality dashboard. Finally, you will sketch out a proposed MDM implementation
architecture, define a set of matching rules for the creation of customer and item master data, and define the data governance roles and responsibilities that are necessary to oversee this data governance initiative.
Taught by
Vijaya Nelavelli - color photo
