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
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