Competitive Analytics Architectures: Comparing the Data Mesh, Data Fabric, Data Lakehouse, and Data Cloud

Presented by William McKnight 

In this session, we’ll look at some Data Architecture practices that have emerged in the past few years and are being consciously worked into many enterprise data programs. These are keepers and it will be required that we move towards them, so it’s best to mindfully work them into the environment.  

Data mesh is a subdividing of the enterprise Data Architecture into subsystems manageable by non-central teams. The data fabric is a metadata-driven always-on data and pipeline manager. The data lakehouse integrates the data warehouse and the data lake. The data cloud brings widespread data to bear in a single platform.  

Learn more in this session and determine which, if any, will provide value to your architecture objectives.  

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