Saying no
·1 min
In response to my post on Medium on how every data transform is technical debt, Peter Flock commented:
Data platforms for data leaders
Give me a minute or two a day and I’ll show you how to get the most out of your organisation’s data.
Your best email:
(Don’t worry—I hate spam, too, and I’ll NEVER share your email address with anyone!)
Not sure? Browse the archive below.
2024
Where to apply data contracts
·1 min
Data contracts can be applied in various places, but they’re most useful at the boundaries of ownership.
Data contracts shouldn't focus on enforcement
·1 min
It’s easy to see data contracts as something to enforce on your data producers.
Data contracts set the expectations
·1 min
Data contracts set the expectations for the data.
Data contracts and data mesh panel
·1 min
I had a great panel discussion with Amy Raygada and facilitated by Jean-Georges Perrin for Data Mesh Radio.
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?