Course Outline
Introduction
Overview of Data Architecture
Understanding the Goals and Principles of Data Architecture
Foundations of Data Architecture
Exploring Frameworks, Characteristics, and Roles
Designing an Enterprise Data Architecture
Assessing an Organization's Data Assets
Designing a Staging Area
Developing Risk Mitigation Mechanisms
Creating Data Processing Models and Methods
Working with Big Data Systems
Evaluating and Optimizing Big Data Databases
Implementing Data Lake Capabilities
Establishing a Data Governance Framework
Building a Metadata Management System
Assessing and Monitoring Data Quality
Examining Master Data Management Architectures
Summary and Conclusion
Requirements
- Practical experience with Python and SQL programming
- Proficiency with database management systems
- Working knowledge of data analytics
Target Audience
- Computer engineers
- Data analysts
- Project managers
Testimonials (1)
The ability to Engauge on a 1:1 basis and ensure I had clarity and understanding on the concepts discussed.
