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Course Outline
Introduction
Data Architecture Overview
Core Goals and Principles of Data Architecture
Foundations of Data Architecture
Frameworks, Characteristics, and Roles
Enterprise Data Architecture Design
Assessing Organizational Data Assets
Designing a Staging Area
Developing Risk Mitigation Mechanisms
Data Processing Models and Methods
Working with Big Data Systems
Evaluating and Updating Big Data Databases
Implementing Data Lake Capabilities
Data Governance Solutions
Metadata Management Systems
Data Quality Assessment and Monitoring
Master Data Management Architectures
Summary and Conclusion
Requirements
- Proficiency in Python and SQL programming
- Knowledge of database management systems
- Understanding of data analytics
Target Audience
- Computer engineers
- Data analysts
- Project managers
28 Hours
Testimonials (1)
The ability to Engauge on a 1:1 basis and ensure I had clarity and understanding on the concepts discussed.
