In our Part 2 deep dive, we dove deeper into the components of what makes up a Data Fabric and Data Mesh. But how does one actually about BUILDING either a Data Fabric or Data Mesh?
How to Build a Data Fabric
Building a Data Fabric involves creating a unified and consistent data infrastructure that simplifies data access, integration, and management across disparate data sources. A Data Fabric provides seamless access to data, allowing users to easily explore, analyze, and gain insights from their data. Here are the steps to build a Data Fabric:
Building a Data Fabric requires a thoughtful approach to architecture, technology selection, data modeling, and governance. By following these steps and continuously iterating and improving your Data Fabric, you can create a unified and consistent data infrastructure that simplifies data access, integration, and management across your organization.
How to build a Data Mesh
Building a Data Mesh involves rethinking your data architecture, organizational structure, and culture to enable a decentralized, domain-oriented, and self-serve data infrastructure. Implementing a Data Mesh requires following a set of principles and practices. Here’s a step-by-step guide to help you build a Data Mesh:
By following these steps and embracing the core principles of Data Mesh, you can build a decentralized, domain-oriented, and self-serve data infrastructure that scales effectively and promotes collaboration and data sharing across your organization.
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