Data Mesh: How to Access Game-Changing Architecture to Power a Client-Centric Organization
Dash mesh is often hailed as a game changer in the world of data architecture, yet it is often misunderstood, leading organizations to frustration when it is not designed or implemented within a clear business strategy. In this new white paper, co-written by BCG Platinion and Teradata, we uncover the true purpose and potential of data mesh architecture. We analyze the principles behind this concept and how it can be designed and implemented to achieve client-centric business goals.
Read our white paper in full length!
Dive deeper into the world of data mesh
Although data mesh is a new and revolutionary construct, it is based on sound elements of data organization. Fundamentally, it reorients data architecture and organizes information and interfaces in a client-centric way. By deconstructing entangled and monolithic data and rearranging it in a domain-orientated infrastructure, data mesh enables self-service through decentralization and federation.
By building architecture in this way, data owners have the autonomy to structure, adapt, and use their data in the most effective way. Since data is harmonized through a centralized method, consistent federated governance is maintained and common discovery, consumption, and interoperability are achieved. Although data mesh offers many benefits, there is much misunderstanding about how it can and should be used. In addition, many organizations have questions about how to effectively design and implement this architecture.
In this white paper, we delve deep into the topic of data mesh, uncover common misconceptions, shed light on architectural concepts and effective implementation strategies, and look at the future landscape of data mesh as an empowering business tool.
Discover:
The fundamental principles of data mesh, including domain orientation, viewing data as a product, self-service rules, and the importance of federated governance
The architectural concepts that support data mesh, including domain-driven design, microservice architecture, API-driven integration, and resource-oriented structures
The differences between data mesh, data warehouses, and data lakes, as well as the importance of good data management
How organizations can organize and source distributed data mesh
The importance of domain-driven design as a foundation for data mesh architecture
The organizational factors that impact data mesh and the importance of viewing this architecture as a business philosophy rather than a technical concept
The limitations of data mesh
The future landscape of data mesh as it powers more contained, multi-disciplinary teams, the removal of siloed operations, and shorter, more precise development cycles
The use of Teradata as a core technology within data mesh architecture
For all of this and much more, download “How to Build, Implement, and Leverage a Successful Data Architecture Using a Data Mesh Architecture Pattern.”
This article was written in collaboration with Teradata and is co-authored by Robbert Naastepad.
