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# Data Mesh: The Speedrun by Nick Bozovits

**[Devoxx](https://daily.dev/sources/devoxx)** · 16 min read · 0 upvotes · 0 comments

## Summary

A conference talk transcript covering practical architectural decisions when implementing a Data Mesh. Key topics include: using a single Airflow instance for orchestration across all data products (with Airflow datasets for inter-product messaging), Databricks with Unity Catalog for heavy data processing and lineage, Great Expectations for data quality and human-readable reporting, and a two-tier storage strategy (Azure Data Lake for bronze/silver/gold layers, Azure SQL or Elasticsearch for specific serving needs). Lessons learned include not delaying the data catalog, avoiding domain-based infrastructure splits, and creating a reusable data product blueprint template to accelerate team onboarding.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=uk-2RRzJzxU>

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---

Tags: [#big-data](https://daily.dev/tags/big-data), [#databricks](https://daily.dev/tags/databricks), [#data-quality](https://daily.dev/tags/data-quality), [#apache-airflow](https://daily.dev/tags/apache-airflow)

[View this post on daily.dev](https://daily.dev/posts/data-mesh-the-speedrun-by-nick-bozovits-rt64iu7ak)

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