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Data as a Product, Data Mesh, and MACH applied

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To provide the superior and personalized experiences customers demand, and to improve internal systems and processes in support of this goal, a better framework for collecting, managing, and sharing data is needed.

Data-as-a-product is a strategic and technical initiative that pushes the ownership of enterprise data away from a centralized data team and into the hands of separate teams or business units.

To establish data-as-a-product and lay the groundwork for a better customer experience, companies must craft a data mesh that binds their data sources into a new domain-driven architecture model. Combined with fine-grained governance and access controls, and the integration of data from legacy mainframes and databases, the data mesh becomes a foundational technology necessary to modernize.

Choosing the framework on which to build your applications is essential to fully exploit the promise of a data mesh. MACH, which stands for microservices-driven, API-first, cloud-native, and headless, is a set of architectural pillars that allow organizations to modernize their technology stack, while also giving it a firm foundation for future evolution.

In this webinar, we cover:

  • The concept of building a data as a service driven organization in the context of the data mesh and MACH principles
  • The evolution of data and why a better framework for collecting, managing, and sharing data is crucial when looking to modernize
  • How the design concepts of MACH are perfectly suited for MongoDB and mesh perfectly with the architectural concept of the data mesh
  • An overview of what the complete MACH and data mesh implementation looks like – including a payment processes example highlighting what enrichment and polymorph data really mean for the solution

You’ll hear from Boris Bialek, Managing Director, Industry Solutions and Market Intelligence, MongoDB


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