Data Mesh :

Companies such as Zalando, Netflix, Intuit, VistaPrint, PayPal and others successfully used data mesh Architechture in their system for successful results.

What is data mesh ?

Data mesh is a design strategy for enterprise data platform architecture driven and owned  by domain experts in extracting (collecting), transforming , storing  and maintaining the data.

Data mesh is indeed a design strategy for enterprise data platform architecture. It emphasizes decentralizing data ownership and management across different domains or business units within an organization. In a data mesh architecture, domain experts take ownership of their respective data domains, including tasks such as extracting, transforming, storing, and maintaining the data. This decentralization is aimed at improving scalability, flexibility, and agility in handling data within large organizations.

Instead of one big team managing everything, each part of the business takes care of its own data. This helps the company handle lots of data better and be more flexible.


Why data mesh or Benefits of Data mesh :

·         Decentralization: Data ownership and management are distributed across different parts of the organization, allowing each domain or team to manage its own data. This reduces bottlenecks and improves agility.

·         Scalability: With data ownership spread out, the system can handle large amounts of data more effectively. It's easier to scale up as the organization grows without overwhelming any single team.

·         Flexibility: Each domain or team can choose the tools and technologies that best suit their needs. This flexibility allows for innovation and adaptation to specific requirements.

·         Specialization: Domain experts are responsible for their own data, leading to a deeper understanding and better management of that data. This specialization can lead to improved data quality and more informed decision-making.

·         Resilience: Since data management is decentralized, failures or issues in one part of the system are less likely to impact the entire organization. It creates a more resilient architecture.

·         Collaboration: Despite decentralization, data mesh encourages collaboration between different domains or teams. They can share insights, best practices, and data assets, leading to greater overall efficiency and effectiveness.

What are key elements and principles of data mesh ?

There are four fundamental principles of the data mesh architecture:

·         Domain ownership

·         Data as a Product

·         Self-serve data platform

·         Federated governance