Data Mesh Demystified

سرفصل های دوره

1 - Introduction

1 - Welcome

2 - Introduction to Data Mesh

2 - What is Data Mesh

3 - Traditional Data Architecture Challenges

4 - How Data Mesh Solves These Challenges

5 - Benefits of Adopting Data Mesh

3 - Core Principles of Data Mesh

6 - Introduction to the Four Key Principles

7 - Domain Ownership

8 - Data as a Product

9 - SelfServe Data Platform

10 - Federated Computational Governance

4 - Data Mesh Architecture and Components

11 - Overview of Data Mesh Architecture

12 - Domain Teams and Their Roles

13 - Data Products

14 - SelfServe Data Platform in Detail

15 - Federated Governance in Practice

5 - Tools Technologies for Data Mesh Implementation

16 - Introduction to Data Mesh Tools

17 - Data Storage Solutions in Data Mesh

18 - Data Pipelines and ETL Tools

19 - APIs and Service Mesh for Data Exchange

20 - Data Visualization and Reporting

6 - Data Governance and Data Quality in Data Mesh

21 - Introduction to Data Governance in Data Mesh

22 - Implementing Data Governance Policies

23 - Data Quality Management in a Decentralized System

24 - Monitoring and Continuous Improvement of Data Quality

7 - Implementing Data Mesh in Your Organization

25 - StepbyStep Implementation Guide

26 - Defining Data Products and Governance Structures

27 - Building the SelfServe Data Platform

28 - Tracking Success and Continuous Improvement

8 - Conclusion

29 - Thank You

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تولید کننده: Udemy