Data Mesh: the paradigm that promises to revolutionize data architecture
Posted: Sun Dec 22, 2024 7:17 am
The idea of data architecture is commonly associated with those that are centralized and monolithic, for example, data warehouse and data lake. Seeking to revolutionize this area and spread the democratization of data, Data Mesh has arrived to change these standard concepts.
Data Mesh challenges the old assumption by proposing a very decentralized architecture (i.e., without concentrating all the information in a single place) and an approach that comes from design. It is an approach that uses as a basis the way of thinking and organizing data.
The 4 Principles of Data Mesh
These are: domain ownership, making data available as a product, making data available on a platform, and federated data governance. Learn more about each of them below:
Domain ownership: decentralizing data ownership moves it to teams distributed across domains, improving malaysia phone number example workflow and reducing costs;
Making data available as a product: this approach brings about the emergence of two new roles, Data Product Owner and Data Developer. Both promote the definition and development of data-related products (which provides a better experience for customers);
Providing data on a platform: Data Mesh brings functions responsible for focusing more on customer experience and creating technologies by reducing the cognitive load of domain-focused teams;
Federated data governance: this principle speaks to and guarantees the security and accuracy surrounding data, preventing it from being used incorrectly in any way.
How can this new approach help?
Traditional data architecture has shown numerous limitations that make it difficult to take advantage of the full potential of the information given to it, that is, there are small points that affect the transformation of data into knowledge.
Data Mesh promises to enhance and enable the scalability of data analysis, making crucial information accessible and available. In addition, the correction of gaps that were left aside by the current data management structure is another point that the data mesh brings with it.
This way of architecting the data that reaches your company highlights greater agility and scalability (both referring to reduced time in analyses and processes), and, of course, strong governance by providing greater control over the data.
The faster and more efficient data delivery that comes from providing a governable and centralized infrastructure is also a strong point when we talk about data architecture tools that come with Data Mesh.
It also provides a solution where domain experts and owners are in charge, as opposed to traditional approaches that promote siloed teams.
It is important to point out that, if your current structure is meeting your requirements and is sufficient for your company, there may be no need to make the change to Data Mesh, as it proposes a major cultural change in several areas.
Data Mesh challenges the old assumption by proposing a very decentralized architecture (i.e., without concentrating all the information in a single place) and an approach that comes from design. It is an approach that uses as a basis the way of thinking and organizing data.
The 4 Principles of Data Mesh
These are: domain ownership, making data available as a product, making data available on a platform, and federated data governance. Learn more about each of them below:
Domain ownership: decentralizing data ownership moves it to teams distributed across domains, improving malaysia phone number example workflow and reducing costs;
Making data available as a product: this approach brings about the emergence of two new roles, Data Product Owner and Data Developer. Both promote the definition and development of data-related products (which provides a better experience for customers);
Providing data on a platform: Data Mesh brings functions responsible for focusing more on customer experience and creating technologies by reducing the cognitive load of domain-focused teams;
Federated data governance: this principle speaks to and guarantees the security and accuracy surrounding data, preventing it from being used incorrectly in any way.
How can this new approach help?
Traditional data architecture has shown numerous limitations that make it difficult to take advantage of the full potential of the information given to it, that is, there are small points that affect the transformation of data into knowledge.
Data Mesh promises to enhance and enable the scalability of data analysis, making crucial information accessible and available. In addition, the correction of gaps that were left aside by the current data management structure is another point that the data mesh brings with it.
This way of architecting the data that reaches your company highlights greater agility and scalability (both referring to reduced time in analyses and processes), and, of course, strong governance by providing greater control over the data.
The faster and more efficient data delivery that comes from providing a governable and centralized infrastructure is also a strong point when we talk about data architecture tools that come with Data Mesh.
It also provides a solution where domain experts and owners are in charge, as opposed to traditional approaches that promote siloed teams.
It is important to point out that, if your current structure is meeting your requirements and is sufficient for your company, there may be no need to make the change to Data Mesh, as it proposes a major cultural change in several areas.