

Modern Data Architecture
Exploring Data Mesh and Microsoft Fabric






Introd uc tion to M od ern Da ta A rc hitec ture

Evolution of data management paradigms

Need for scalable and flexible data solutions

Introduction to Data Mesh and Microsoft Fabric


































Und ers ta nd ing Da ta
Decentra lized da ta ownership a nd ma na gement Doma in-oriented da ta product thinking


Self-serve da ta infra structure a s a pla tform
Federa ted computa tiona l governance



Und ers ta nd ing Da ta M
es h
Enha nced sca la bility a nd a gility
Improved da ta qua lity a nd a ccessibility
Reduction in da ta silos
Empowerment of doma in tea ms





Exp loring M ic ros oft


1.Unified data integration and orchestration
2. End-to-end data platform capabilities
3. Seamless integration with Azure services
4. Adva nced a na lytics a nd AI integra tion


Key Fea tures of M ic ros oft







Levera ging Da ta
Mesh for doma inspecific da ta products
Integ ra tion S tra teg ies for M od ern Da ta A rc hitec ture



Utilizing Microsoft
Fa bric for unified da ta management


Best pra ctices for integra ting both approaches



Ensuring da ta consistency a nd governance



C om p a ra tiv e A na ly s is
Da ta owners hip:
Decentralized vs. Centralized
Da ta m a na g em ent:
Doma in-oriented vs. Unified pla tform
Scalability:
Horizonta l vs. Vertica l Us e ca s es : Enterprise vs. Cloudna tive




Real-World Applications
Da ta Mesh Im plem enta tion a t Netflix

Challenge: Managing diverse data sources & large-scale data processing.

Solution: Implemented a Data Mesh to decentralize data ownership & foster domain-specific data products.

Outcome: Improved data accessibility, reduced bottlenecks, & enhanced scalability.
Microsoft Fa bric Deploym ent a t Contoso Ba nk

Challenge: Integrating siloed data systems & ensuring compliance.

Solution: Adopted Microsoft Fabric for unified data integration, robust governance, & seamless Azure service integration.

Outcome: Enhanced data security, streamlined operations, & accelerated analytics capabilities.
Lessons Lea rned a nd Best Pra ctices


Netflix: Emphasize the importance of domain-oriented data ownership and clear governance frameworks.
Contoso Bank: Highlight the need for robust data security measures and integration with existing cloud services.





C onc lus ion a nd Future Directions

S umm a ry of D a ta M es h
a n d M ic ros oft Fa b ric
b en efits


S umm a ry of D a ta M es h
a n d M ic ros oft Fa b ric
b en efits

Fu tu re tren d s in d a ta architecture




Ques tions a nd
ns wers
Open floor for questions






Thank You




