
## Metadata
- Author: [[jonathan-parks|Jonathan Parks]]
- Full Title:: Data Quality at Airbnb
- Category:: #🗞️Articles
- Document Tags:: [[Data quality|Data Quality]],
- URL:: https://medium.com/airbnb-engineering/data-quality-at-airbnb-e582465f3ef7
- Finished date:: [[2023-12-12]]
## Highlights
> leadership has set high expectations for data timeliness and quality, and increased focus on cost and compliance ([View Highlight](https://read.readwise.io/read/01hhef9dbaj3yp3ncaeba9e0yg))
> To ensure that we continue to meet these expectations, it was apparent that we needed to make sizable investments in our data ([View Highlight](https://read.readwise.io/read/01hhef9nd7rw32vgn6z3s4zax1))
> Airbnb leadership signed off on the Data Quality initiative — a project of massive scale to rebuild the data warehouse from the ground up using new processes and technology. ([View Highlight](https://read.readwise.io/read/01hheff5j0yqs4yp97kkcxhne5))
> We also committed to a decentralized organizational structure composed of data engineering pods reporting into product teams (as opposed to a single centralized Data Eng org). This model ensures data engineers are aligned with the needs of consumers and the direction of product, while ensuring a critical mass of engineers (3 or more). Team size is important for providing mentorship/leadership opportunities, managing data operations, and smoothing over staffing gaps. ([View Highlight](https://read.readwise.io/read/01hhefh07rpsemjnpafhc13w89))
> To complement the distributed pods of data engineers, we founded a central data engineering team that develops data engineering standards, tooling, and best practices. The team also manages global datasets that don’t align well with any of the product teams. ([View Highlight](https://read.readwise.io/read/01hhefhc74kf89j3rwc581sf5b))
> Tables must be normalized (within reason) and rely on as few dependencies as possible. Minerva does the heavy lifting to join across data models. ([View Highlight](https://read.readwise.io/read/01hheg0nsw5mwexee6x8rvjsy3))