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Episode 168:

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

December 13, 2023

This week on The Data Stack Show, Eric and Kostas chat with Paolo Platter, Zhamak Dehghani, and Melissa Logan about the concept of data mesh, a complex topic that encompasses both technical and organizational aspects. During this conversation, the group discusses the transition from a monolithic IT team to a data mesh model, the implementation and adoption of data mesh, and the concept of data products within the data mesh framework. The episode emphasizes the importance of empowering domain practitioners and building platforms that support the creation and sharing of data products to enable the implementation of data mesh, and more.

Notes:

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.

About the Podcast

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.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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