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Notes from the work
Short, practical writing on data platforms, AI adoption, governance and the organisational side of getting value from data.
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ReadData Tips #25 - Handling re-runs
Re-runs happen to every team running a data platform. Here is how to design ingestion and modelling layers so reloads are safe, automatic and boring.
ReadData Tips #24 - Data Retention & Data Deletion
Two deletion scenarios drive most data platform design: retention windows and deleting specific parts of the data. Both need to be handled everywhere the data lives.
ReadData Tips #23 - Organisation: Platform and facilitating roles
The roles that make sure data teams have a foundation to stand on - platform, security, CI/CD, reusable frameworks and community facilitation.
ReadData Tips #22 - Organisation: Surrounding roles
The roles that interact with the data team daily - product owner, business expert, business translator, architects - and where they should sit.
ReadData Tips #21 - Putting effort where it matters
Use cases, data quality and change management. How to prioritise inside each of them instead of trying to fix everything everywhere at once.
ReadData Tips #20 - Organisation: Roles in a data team
Starting a series on organisation. Which roles do you need in a data team that owns use cases end to end?
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