Moving to interfaces requires a culture change
Responding to yesterdays post on LinkedIn, Anna Bergevin wrote:
Data Engineering
2024
Good software engineers change schemas all the time
I came across this on LinkedIn (as a screenshot from Bluesky) this morning.
Assumptions built on assumptions
·1 min
Your customers assume the data application they are paying for is always correct and always up to date.
A business case that improves data quality
·2 mins
Many data engineering teams spend a lot of their time struggling to deal with upstream data.
Data teams start with accessibility
·2 mins
A new data team, perhaps being created in a business that is evolving from a startup to a scaleup, often focus on accessibility.
When you remove data engineering as a bottleneck
·1 min
When you remove data engineering as a bottleneck:
Writing code is the easy part
·1 min
Writing code.
The goal has always been accessible data
The goal of every data architecture has always been to provide accessible data to the organisation.
The point of self-serve is autonomy
The whole point of enabling self-serve is autonomy.
Good enough SLOs
·1 min
When it comes to defining SLOs, I’m aiming for good enough.