Summary of Data Mesh Implementation Patterns

00:00:00 - 00:30:00

The presenter discusses the benefits of data mesh technology and shares several implementation patterns. Data mesh technology allows for the domain-specific organization of data products, as well as the tracking of data usage and popularity. This talk is beneficial for those who want to learn about how to implement data mesh technology in their own company.

• 00:00:00 This talk discusses some of the implementation patterns for data mesh, which are driven by a set of guiding factors. The talk shared experiences of how these patterns have been used in a company undergoing a digital transformation. Several implementation patterns were discussed, including data consolidation, data mesh as a way to better control and govern data, and data mesh as a way to simplify a data landscape.
• 00:05:00 The first implementation pattern is for when the source data is already enriched and requires no surface processing; the second implementation pattern is for when the source data is not enriched and requires surface processing. The first implementation pattern uses pub sub and cdc as surface technologies, while the second implementation pattern uses apis and structured streaming.
• 00:10:00 The creators of this video discuss the various ways in which they've implemented data mesh architectures, focusing on the data marketplace, search, and delivery of personalized data products.
• 00:15:00 The video discusses data mesh implementation patterns, including how a data federation tool allows producers to create and consume data products, as well as how a producer portal enables data generalists to create and consume data products.
• 00:20:00 The video discusses data mesh implementation patterns, which involve different profiles of users, creating rules at different levels of the data hierarchy, and deploying the data products through one-click solutions. The video also mentions the producer and consumer portals, which allow data journalists to model data, deploy the data products, and make decisions about where to store the data.
• 00:25:00 The presenter discusses the benefits of data mesh technology, which includes the ability to deploy data products quickly and efficiently, as well as the ability to scale. They also discuss how data mesh can help reduce the dependency on specialized tech experts and the crowdsource of data products.
• 00:30:00 Data mesh technology allows for the domain-specific organization of data products, as well as the tracking of data usage and popularity.