Issue 21 - Let grow the world around you
Wealth and success is not only upon all our acts. Though "luck is what happens when preparation meets opportunity", it's good to have faith in the randomness of life.
The world around is blazing fast. We wonder about AGI, about climate change, about free speech, etc.
By letting grow the world around us - not fearing of missing out - we can focus on what prevails in our life. Embracing slow pace allows us to see the unusual interactions. To understand the deep background behind bright figures. To keep calm.
A new year is starting. We shouldn't hide but we shouldn’t go crazy.
Keep it long-term, thoughtful and peaceful.
📡 Expected Contents
2003–2023: A Brief History of Big Data
As we're starting 2023, it always good to look back of what happen since "big data" exists.
If like me you directly started in the "cloud" era you'll learn a lot; if you've more seniority, it will probably make you think about the way that industry evolved across the years.
On pricing & growth
Big news recently : dbt cloud rose its pricing 💸.
We’re increasing the price of the dbt Cloud Team plan from $50/seat to $100/seat.
I agree with many that the real value of dbt live in the core open source product. Still, without dbt Labs as a company and its investors, this OSS couldn't rise as it did.
So realistically and long-term thinking, this is a quite good call in my opinion. It would bring cashflows and opportunities to continue develop the cloud part and by-product : core open source dbt.
It's important to aknowledge value where it comes from. Open source is hard to fund and the business plan we see everywhere nowadays (TL;DR; selling support and SaaS) is definitely here to stay.
Having open source alongside SaaS offerings allow projects such as dbt to evolve by themselves but also through the community. This is way better than the old B2B software way...
Building a server-less, containerized batch prediction model using Google Cloud Run, Pub/Sub, Cloud Storage and Terraform
Here is a quite technical piece illustrating how to serve a machine learning model the server-less way.
📌 It's a great cheatsheet to pin when looking for resource around ML deployment and ML Ops practices.
I was looking for such a blog post for a longtime. Here it is finally : a brief introduction to risk management from a data point of view.
Definitely a good read 👀
📰 The Blog Post
Currently not-writing some new blog post, but reading a so-called "classic" Freedom, Inc. - How Corporate Liberation Unleashes Employee Potential and Business Performance by Brain M. Carney and Isaac Gets.
It goes throught the way some companies are shifting from "how to work" to "why to work" philosophy. Understanding how company can unleashes employees' initiative and responsibility by treating them as adults and proper human being is really inspiring.
Surely a confirmation bias read for everyone like me already working in a company which understood that a bit. Anyway the examples and stories underlined give great ideas to carry on the process.
Just read half the book : I'm definitely looking for time to finish it. Will do probably very soon as the prose is flowing and the content is so interesting.
Favorite quote for the moment :
"If you put fences around people, you get sheep. Give people the room they need"
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🎨 Beyond The Bracket
Why do we mostly drive on the right side of the road ?
That's a discussion I had with a friend recently while driving into Paris suburb. We were close to the actual answer when thinking about knights battles and early horse influence.
Finally this quote from The 99 invisible city book come lighting us :
"Historically, the side of the road that people walk, drive, or ride on has varied and shifted. When horseback was a primary mode of transit, people usually rode on the left side so their right hand remained free to greet or attack oncoming riders, depending on what the situation called for. With the rise of horse-drawn carriages, conventions began to change. Drivers would often sit on the left rear horse, so their dominant right hands could better control the rest of the team that stood to the front and right of the driver. It then made sense for them to drive on the right side of roads so drivers would be positioned in the middle of the lane and be able to keep track of their surroundings more easily."
This kind of anecdote is an important reminder that nothing is set in stone. That any policy or technology can be disrupted by a new one.
It reminds us that common sense is often way better than high-handed governance legacy.
When people don't understand the reason behind a rule or a too obscured system, they won't adopt any of its values.
People don't resist change : they resist being changed.
And so 2023 is here !
I'm sticking to the Cadence framework I already talked about in a previous issue. It definitely helps on having enlightment moments, developing your goals, etc…
If you have to try one thing on self-development in 2023 : go read the essay and see if it's inspire you.
Anyway, hope you'll live a great year 💪
See you in Feb 👀
It's now a centerpiece of many data stack…
Do you know that on Sunday, September 3, 1967, Sweden changed from driving on the left-hand side of the road to driving on the right ? It's called the Dagen-H or Högertrafikomläggningen (hopefully I'm not doing a podcast).
That quote also comes from Freedom, Inc. book 😉