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Data Mesh Radio

Rerelease of #130 Making the Data Quantum Leap - Starting from the Data Quantum at PayPal - Interview w/ Jean-Georges Perrin (JGP)

Sep 15, 2023
Jean-Georges Perrin, partner in weekly data mesh roundtables, discusses the importance of having an early thesis, building momentum, and applying software engineering practices to data. The podcast explores topics such as data governance, data quantum in data products, building analytical APIs, local vs global maximization of value, and the challenges of implementing data mesh.
01:23:55

Podcast summary created with Snipd AI

Quick takeaways

  • Building value early is crucial in a data mesh implementation, requiring a clear thesis and focus on data discovery and consumer trust.
  • Standardized APIs and metadata play a significant role in data mesh, simplifying data consumer experience and enhancing trust in data quality and usability.

Deep dives

Building value through data quantum implementation

One of the main ideas discussed in this podcast episode is the importance of building value early in a data mesh implementation. The speaker emphasizes that simply creating a data mesh does not automatically generate value, and that it is crucial to develop a clear thesis around what will drive value early on. This involves considering factors such as data discovery, data consumer trust, and the specific outcomes that the implementation aims to achieve. By focusing on building a high-quality data quantum, which is a component of the data product, organizations can provide faster and easier data discovery, ensure trust in the data, and deliver valuable insights to data consumers.

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