Does this course cover GenAI and Data Mesh integration?

Yes. A dedicated module covers LLM-powered data products, RAG pipeline design, and AI-augmented governance within a Data Mesh architecture.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Mesh Architectures and Implementations

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Data Mesh Architectures and Implementations

Instructor: Edureka

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design domain-oriented Data Mesh architectures with clear ownership boundaries, data product structures, and self-serve platform capabilities.
Implement federated computational governance using scalable policies, data quality guardrails, and compliance controls across domain teams.
Build decentralized ETL pipelines and storage solutions using API-based data exchange and service mesh models for enterprise reliability.
Integrate Generative AI into Data Mesh environments to deploy intelligent, LLM-powered workflows across domain-owned data platforms.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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There are 4 modules in this course

Welcome to the Data Mesh Architectures and Implementations course, where you'll begin a journey to acquire practical expertise in designing and deploying decentralized, domain-driven data systems. Harness the power of Data Mesh principles to transform how your organization owns, governs, and delivers data.

By the end of this course, you'll be able to: - Design domain-oriented Data Mesh architectures that establish clear ownership boundaries, data product structures, and self-serve platform capabilities. - Implement federated computational governance by applying scalable policies, data quality guardrails, and compliance controls across distributed domain teams. - Build decentralized data pipelines and storage solutions using domain-owned ETL patterns, API-based data exchange, and service mesh models for enterprise reliability. - Integrate Generative AI into Data Mesh environments to deploy intelligent, LLM-powered data pipelines and AI-augmented workflows across domain-owned platforms. This course is designed for a diverse audience: data engineers, data architects, analytics engineers, and senior data professionals who are looking to build scalable, domain-driven data systems and lead modern enterprise data transformation initiatives. Prior experience with data engineering concepts such as data pipelines, cloud storage, or distributed systems is beneficial when working with Data Mesh architectures. Embark on an architectural journey to master Data Mesh and build the skills needed to design intelligent, governed, and production-ready data platforms for the modern enterprise.

Establish a strong architectural foundation by understanding Data Mesh as a decentralized data paradigm. Design domain-oriented ownership models that clearly define accountability and data boundaries. Apply product-thinking principles to structure data as discoverable, reliable, and interoperable data products. An architect self-serve platform capabilities that empower domain teams while enforcing federated computational governance through scalable policies and guardrails.

What's included

15 videos7 readings5 assignments

15 videosTotal 85 minutes

Course Introduction4 minutes
Introduction to Data Mesh6 minutes
Data Mesh Architecture and Tools6 minutes
Teams and Ownership in a Data Mesh Organization6 minutes
Evolution of Modern Data Architecture5 minutes
Domain-Oriented Data Ownership in Data Mesh5 minutes
Demonstration: Exploring Databricks Architecture6 minutes
Demonstration: Business Domains and Data Ownership Boundaries7 minutes
Treating Data as a Product in Data Mesh5 minutes
Self-Serve Data Platform for Data Mesh6 minutes
Demonstration: Designing Data as a Product7 minutes
Demonstration: Self-Serve Data Platform Capability Map7 minutes
Federated Computational Governance in Data Mesh6 minutes
Demonstration: Federated Governance Policies and Guardrails5 minutes
Demonstration: Enterprise Data Governance Federation Model4 minutes

7 readingsTotal 75 minutes

Course Syllabus15 minutes
Data Mesh Vocabulary and Key Architectural Terms10 minutes
Domain Ownership Models and Responsibilities10 minutes
Data Product Design Checklist and Ownership Template10 minutes
Self-Serve Platform Capabilities Reference Guide10 minutes
Federated Governance Models and Guardrails10 minutes
Module Summary: Foundations of Data Mesh Architecture10 minutes

5 assignmentsTotal 39 minutes

Knowledge Check: Data Mesh Architecture and Core Principles Assessment15 minutes
Practice Assignment: Data Mesh Architecture and Organizational Concepts6 minutes
Practice Assignment: Mapping Domains to Data Ownership6 minutes
Practice Assignment: Defining Platform Capabilities for Domain Teams6 minutes
Practice Assignment: Designing Governance Rules for Data Products6 minutes

Design AI-ready data ecosystems by aligning GenAI capabilities with decentralized data products. Integrate GenAI into domain-owned architectures using scalable integration patterns and platform services. Engineer intelligent data discovery and analytics workflows powered by GenAI. Evaluate business impact, governance considerations, and architectural trade-offs when embedding AI into distributed data environments.

What's included

11 videos4 readings4 assignments

11 videosTotal 64 minutes

Introduction to GenAI for Modern Data Platforms6 minutes
Data Readiness for GenAI in a Data Mesh6 minutes
Demonstration: Identifying AI-Ready Data Products in a Data Mesh7 minutes
Transforming Data Mesh with GenAI5 minutes
Demonstration: Integrating a GenAI Service with a Domain Data Product6 minutes
Demonstration: GenAI-Powered Support Operations Analytics3 minutes
Demonstration: Connecting GenAI to a Self-Serve Data Platform6 minutes
Business Impact of GenAI in a Data Mesh Architecture6 minutes
Demonstration: Data Discovery and Insights Before vs. After GenAI Integration7 minutes
Demonstration: Designing a GenAI-Powered Data Discovery Flow7 minutes
Demonstration: Building a Retrieval-Based RAG System5 minutes

4 readingsTotal 40 minutes

AI Capabilities Mapped to Data Mesh Components10 minutes
Integration Patterns for GenAI in Data Mesh10 minutes
Measuring Improvements from GenAI-Enabled Data Mesh10 minutes
Module Summary: Integrating GenAI with Data Mesh10 minutes

4 assignmentsTotal 33 minutes

Knowledge Check: GenAI Integration with Data Mesh15 minutes
Practice Assignment: GenAI Concepts and AI Tooling in Data Mesh6 minutes
Practice Assignment: GenAI Integration Patterns and Architecture Decisions6 minutes
Practice Assignment: GenAI Use Case Analysis and Impact Evaluation6 minutes

Architect scalable domain-owned storage solutions and decentralized ETL pipelines. Manage cross-domain dependencies while preserving autonomy and reducing coupling. Implement secure data exchange using APIs and service mesh patterns. Apply data quality monitoring, observability, and governance controls to stabilize distributed systems and ensure enterprise-grade reliability.

What's included

15 videos5 readings5 assignments

15 videosTotal 85 minutes

Domain-Owned Data Storage in a Data Mesh5 minutes
Demonstration: Mapping Domain Data Products to Storage Solutions6 minutes
Demonstration: Centralized vs. Domain-Owned Storage Models5 minutes
Domain-Oriented Data Pipelines for Data Mesh5 minutes
Demonstration: Designing a Domain-Owned ETL Pipeline7 minutes
Demonstration: Managing Cross-Domain Data Dependencies7 minutes
Demonstration: Connecting BI Tools to Domain Data Products5 minutes
Exchanging Data Products Using APIs and Service Mesh5 minutes
Demonstration: Designing APIs for Data Product Access6 minutes
Demonstration: Service Mesh Patterns for Secure Data Exchange6 minutes
Demonstration: Designing Consumer-Focused Dashboards6 minutes
Demonstration: Interactive KPI Dashboard3 minutes
Data Consumption and Reporting in a Data Mesh6 minutes
Managing and Monitoring Data Quality in a Decentralized System5 minutes
Demonstration: Data Quality Monitoring Dashboard and Feedback Loop7 minutes

5 readingsTotal 50 minutes

Domain-Owned Storage Patterns and Design Considerations10 minutes
Designing and Operating Domain-Oriented Data Pipelines10 minutes
Security and Compliance Patterns for Data Mesh10 minutes
Data Consumption, Quality Metrics, and Monitoring Framework10 minutes
Module Summary: Enterprise-Grade Storage, Pipelines, and Data Exchange10 minutes

5 assignmentsTotal 39 minutes

Knowledge Check: Data Mesh Implementation Assessment15 minutes
Practice Assignment: Evaluating Storage Models for Domain Data Products6 minutes
Practice Assignment: Modeling Decentralized ETL Pipelines and Dependencies6 minutes
Practice Assignment: Design Secure Data Access Rules6 minutes
Practice Assignment: Data Consumption, Quality, and Monitoring Concepts6 minutes

Design an end-to-end GenAI-enabled data mesh architecture aligned with business objectives. Evaluate maturity, scalability, and governance readiness across domains. Deliver a comprehensive architecture blueprint that balances autonomy, standardization, innovation, and control.

What's included

1 video1 reading2 assignments1 discussion prompt

1 videoTotal 4 minutes

Course Summary: Data Mesh Architecture and Implementations4 minutes

1 readingTotal 30 minutes

Practice Project: GenAI-Enabled Data Mesh Architecture for Enterprise Transformation30 minutes

2 assignmentsTotal 60 minutes

End Course Knowledge Check: Data Mesh Architecture and Implementations30 minutes
Intelligent Enterprise Mesh: Building a GenAI-Enabled Data Mesh Architecture30 minutes

1 discussion promptTotal 5 minutes

Driving Organizational Transformation with Data Mesh5 minutes

Instructor

Edureka

173 Courses153,257 learners

Offered by

Edureka

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Frequently asked questions

Data Mesh is a decentralized data architecture that treats data as a domain-owned product governed by federated policies, replacing bottleneck-prone centralized data lakes.

This course is ideal for data engineers, data architects, analytics engineers, and data platform leads looking to build scalable, domain-driven enterprise data systems.

You'll design domain-owned data products, build decentralized ETL pipelines, implement federated governance, and integrate GenAI into Data Mesh platforms using Databricks.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.