Data Mesh Architecture: Core Concepts
31mIntermediate2024-12-12
Authors

Lauren Maffeo
Course details
Gather insights into a cutting-edge approach to data management: data mesh architecture. Instructor Lauren Maffeo provides an introduction to data mesh, its significance, foundational concepts, and advantages over conventional data architecture patterns. Explore the four pillars of data mesh, including data domains, data as a product, self-service data access, and federated data governance. Learn to identify your organization’s core data domains and sub-domains, and how to effectively classify and manage them. Figure out how to select adept data stewards and define federated standards to ensure data quality across different domains. Ideal for data architects, data engineers, and IT professionals aiming to adopt modern data architecture practices, this course equips you with the skills to design your first data mesh architecture, laying the foundation for a more agile and innovative data management strategy.
Learning objectives
data mesh, data architecture, data quality
Learning objectives
data mesh, data architecture, data quality
Skills covered
Data EngineeringData ScienceOne-Off
Concepts
0. Introduction
- 01 - What is data mesh
- 02 - Why data mesh
- 03 - The data mesh architecture pattern
- 04 - An intro to data decentralization
1. The Four Pillars of Data Mesh
- 05 - An intro to data domains
- 06 - Managing data as a product
- 07 - Self-service access in the data mesh
- 08 - Federated data governance in action
2. Designing Your First Data Mesh Architecture
- 09 - Choose your data domains
- 10 - Classify your sub-domains
- 11 - Select stewards to serve as product owners
- 12 - Write your own federated standards
Conclusion
- 13 - Investment in your future
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