Productivity on reading habits | Readings
06 March 2023
1 minutes to read
For the past weeks, I’ve done a small change to how I keep reading up to date. I use RSS + Feeder reader (great app btw). However, something I’ve found is that I just.can’t.read.it.all. And so I tend to open the most interesting articles, read the ones that are quicker and easier to read, maybe one long one if the topic grabs me, and leave the others for later reading. And I repeat the process, and the “to-read-later” list just keeps getting bigger. So I decided to only open the feeder when I’ve read all the topics. And that small change has allowed me to reduce my list (as can be seen by the number of articles below).
As a side note, I’ve also updated my team randomizer. Done a lot of updates (many breaking changes) and added a small drag-and-drop feature after the results. Was thinking of doing this little change for a long time as I wanted to adjust the teams every week depending on who came out to play.
Readings of the week
- How Duolingo reignited user growth
- Why is Polars All The Rage?
- Infrastructure as SQL on AWS: IaSQL Enters Beta Adding Multi-Region and Transactions
- Shredding Deeply Nested JSON, One Vector at a Time
- Use Apache Iceberg in a data lake to support incremental data processing
- Aligning mismatched Parquet schemas in DuckDB
- You Don’t Need a Build Step
- Making the move from Alfred to Raycast
- Work Less, Get More Done: Analytics For Maximizing Productivity
- Build a real-time GDPR-aligned Apache Iceberg data lake
- Sep 11 The Power of “Yes, if”: Iterating on our RFC Process
- Next.js 13.2
- Python is two languages now, and that’s actually great
- Most Data Work Seems Fundamentally Worthless — Ludicity
I'm José Cabeda, a data engineer focused on improving data systems and educating on how to use them. I also do a lot of planning and read as much as I can.