Building defensively
·2 mins
I talk a lot about data quality, and how it can be improved.
Data Engineering
2024
Saying no
·1 min
In response to my post on Medium on how every data transform is technical debt, Peter Flock commented:
The costs of storing data
·1 min
Since Hadoop came along in 2006 and significantly reduced the cost of storing “big data” we’ve often been focused on how much data we can bring in centrally, with the assumption that we’ll use it to create value later.
Moving less data, with federated queries
·2 mins
I mentioned yesterday that one way to reduce the amount of data transformations (and the costs of them) is to challenge the assumption we need to bring all data centrally before it can be useful.
Every data transform is technical debt
·3 mins
I enjoyed this post by Paul McMahon on how all code is technical debt.
Trust starts at the source
As I wrote yesterday, many data professionals don’t trust the data they are building on.
Do you trust your data?
·1 min
At most of my recent talks I’ve asked the audience - who are made up of data professionals - a simple question: Do you trust your data?
We are not unique
Most of the problems we’re solving in our organisations are not unique to us:
2023
3 data assumptions worth challenging
·1 min
3 common data assumptions I believe are worth challenging:
Agility vs stability
How do you like your data?
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