COURSE AUTHOR –
Mohammad Ayashi
1. Understanding the key principles and concepts of Data Mesh architecture.
2. Understanding the steps of implementation process of Data Mesh, including data governance and management.
3. Knowing the best practices and challenges in Data Mesh implementation.
4. Understanding the comparison between Data Mesh and other data architecture approaches.
5. Understanding key tools and technologies used in Data Mesh implementation.
6. Understanding how to integrate existing data systems into a Data Mesh.
7. Learning the benefits of Data Mesh, including improved data quality, increased data sharing, and streamlined data operations.
8. Understanding the importance of data cataloging and discovery in a Data Mesh architecture.
9. Grasping the key considerations in data governance and data management in Data Mesh.
10. Understanding the future of Data Mesh and emerging trends in data architecture.
11. Being equipped to make informed decisions on data strategy, architecture, and operations.
12. Becoming a well-rounded expert in Data Mesh and data architecture fundamentals
13. Preparing for job interviews related to Data Mesh and data architectures