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AgileData Newsletter #3
“Serverless” Data Processing
Serverless is actually a bit of a misnomer, there are still servers, but they’re abstracted away and you don’t loose any sleep worrying about them, they just work, and you only pay for the computing seconds you use.
This pattern suited us perfectly, we’re a bootstrapped startup where monthly costs are important and paying for resources that we weren’t using wasn’t an option.
Now, the apples ….
Gartner Says Data Mesh is dead
This post from Douglas Laney piqued some thoughts:
It shows the latest Hype Cycle from Gartner on Data Management for 2022.
Doug highlights the fact that Gartner have deemed Data Mesh as already obsolete.
I remember in the hey days of the Big Data hype wave Gartner had a dedicated Hype Cycle for Big Data itself. (2012 Big Data Hype Cycle in comments to bring back all those bad memories)
So is it the fact that Data Mesh is currently just a set of principles with very few patterns we can implement, or is it the fact that there is not currently a stack of technologies that support Data Mesh implementations that caused Gartner to take this stance.
Or is it because they learnt the consequences of overhyping things from the Big Data experience.
Whats you thoughts?
Gone in 60 Seconds
One of the common things we hear when we talk to people about how AgileData is a low code product is "oh so you don't version our code then"
Well years ago low code tools didn't let you version, but in the AgileData world we believe versioning is a core pattern we should all do.
\So of course we version your code, we just do it in a simply magical way, as you would expect.
Shane Gibson gives us another Gone in 60 Seconds on how we version Change Rules.
Skills vs Roles
Business people and technical people work together daily in one long-lasting customer-focused team;
The power of words, do titles create hierarchy and functional silos within the team;
T-shaped people, should everyone be a developer?;
Are specialised roles useful, specialists need to be on the team all the way through;
Should people be paid the same and treated the same;
Long-lasting product teams vs project teams;
The best requirements, architecture and design come from self-managed teams;
Servant leadership vs hierarchy;
One united product team across vendors and organisations.
Have a listen and let us know are you Team Skills or Team Roles.
Building the Agile Plane while Flying it
The AgileData team have been lucky enough to work with some talented data leaders over the many years.
Some of those leaders have been gracious enough to share their thoughts on the AgileData podcast.
One of those leaders was Jan Sheppard when she talked with ✨Shane Gibson and Blair tempero about changing her teams way of working while at the same time delivering valuable Information Products to her stakeholders.
You can listen to the podcast or read the transcript here:
The challenges of being an agile data leader
Shane Gibson wrote an article with his thoughts on the many challenges faced by agile data leaders.
Have a read let the team know if any of those challenges resonate with you.