168: Decoding Data Mesh: Principles, Practices, and Real-World Applications Featuring Paolo Platter, Zhamak Dehghani, and Melissa Logan

Highlights from this week’s conversation include:

• Defining data mesh (6:37)
• Addressing the scale of organizational complexity and usage (9:04)
• The shift from monolithic to microservices (12:24)
• The sociological structure in data mesh (13:59)
• Data product generation and sharing in data mesh (17:27)
• Data Mesh: Simplifying Data Work (24:09)
• Getting Started with Data Mesh (29:14)
• Building products for Data Mesh (36:42)
• Building a customizable and extensible platform to shape data practice (39:28)
• The characteristics of a data product (48:40)
• Defining what a data product is not (50:45)
• The origin of the term "mesh" in data mesh (53:32)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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