In Case You Missed It August 2024
A newsletter, a book and the Future of PostgreSQL (might be grim).
A lot of stuff happened in the past four weeks! So much so that I had to push back this summary newsletter a week to get more content out. But here it is; make sure to check out my two new amazing resources:
www.datacisions.com (a new daily newsletter)
The 7 Data Product Strategies - a 70-page book by me about building great products with data
The 7 Data Product Strategies
Learn why a good strategy is all that matters. Good and great data products are separated by one thing: a good strategy.
Learn how to implement each of the seven strategies. For each of these strategies, you'll get examples, key points on execution, and a little exercise to kick-start your efforts.
Who is this for? You might be an entrepreneur with a new startup idea, a product manager, or managing an internal data team. In the end, it doesn’t matter as long as you have your hands in the design and building of the complete product experience.
Data products are products powered mainly by data, products where you think more about data than about code. Big APIs, data infrastructure, data warehouses, ChatGPT, most machine learning-based applications, internal reporting systems, and many more make up the class of data products.
It is filled with examples from Databricks, Airbyte, DarkTrace, Yoodli AI, and many other companies.
=> A Daily Newsletter On Data & Decisions!
I launched a new newsletter called datacisions! It is a lot of fun and still going strong ;) It’s
daily
short and direct
for people who think data & decisions are inseparable (like me)
fun.
The Future of PostgreSQL Open Source Might Not Be Open
In the past, open source projects have followed exactly three different paths, each of them dominated by the network effects all open source projects enjoy and fear. I’ll describe each of them below.
It, however, looks like PostgreSQL is on the path to ending up in a world where the project is controlled mostly by large companies with a business and commercial interest in it rather than the user base — which would be how we commonly understand open source.
10 Pieces of Advice on Data & AI I Hate
Everyone has to get into data & AI.
That’s true, broadly speaking.
But it is just as true as “every business should have a good business strategy.”
But now what? Now nothing.
I hate this piece of advice because it’s not actionable at all!
Why Preset.io Is Playing Catch Up And How They Could Reverse The Game
However, I recently discussed Preset’s product, which left a weird feeling in my stomach. After some research, I realized that I believe Preset is heading in the wrong direction and desperately needs a pivot.
“We know how to measure things”
There’s one thing these measurements have in common: farmers can do something about them AND when they do, they can increase the crop yield! In the past, measurement was born out of necessity, out of the necessity to control the outputs of a process. And farmers sure worked hard through years of experimentation to find out, what inputs worked best or at all.