Below you will find pages that utilize the taxonomy term “Data engineering”
Back on track.
This week is Data+AI summit week.
I have been working on several personal projects lately. Basically scratching projects itching on my to do lists for several months. This is the first write up from them: templating without base repositories.
The stay at home edition. Stay safe these days, and remember to wash your hands and keep your distance.
No specific theme this week, but feels more data engineering heavy than lately. As it should. Oh, and beware door knobs, they can bring evil.
Update on read books this year, I had forgotten on my previous posts.
Skipped ehem a few weeks (I can blame one on my birthday).
Skipped last week ¯\_(ツ)_/¯ This week has more machine learning than usual for no special reason. Posting this at 4 AM because for some reason I could not sleep and decided I may as well finish this.
First edition of the New Year. As eclectic as usual, I hope. The audio-based monitoring of servers and the weird uses of the GPT-2 neural network could be two highlights.
On time this week. Nothing remarkable: I’m winding down a bit my reading (both articles and books) in preparation for the yearly review and having some cooldown period.
A flight last Sunday meant I was so sleepy I skipped sending last week’s newsletter… so this week is super-sized. A lot of content about distributed teams I think.
This week is somewhat more eclectic than usual. There is nothing about any particular programming language. There is a bit on Kubernetes, functional programming and containers, project management, aviation history, interviews/bios… I have started reading a few more papers, and I’ll share the interesting ones as well. This week they are centered in data engineering.
Yeah, I skipped last week. On Saturday Python Barcelona organised PyDay 2019, and I was one of the organisers aside from giving a workshop on PySpark, so I felt pretty tired on Sunday. Of course this means this is a double issue.
This week there is a lot of functional programming (mostly Scala, a bit of Haskell) and data engineering topics. Of course, there is also the usual random stuff I find interesting as well (and other engineering topics).
A mixed bag of interesting history tidbits sprinkled with Haskell code, Scala stuff, data engineering systems and practices, and how to code with your voice.
This feels like a heavy engineering edition. A lot of Haskell, Rust, Python and Scala. There’s still a bit of everything, but this will appeal hardcore developers more than usual.
This is a slightly longer edition because my reading list was overflowing with 400+ articles. I “trimmed” it down to “only” 380 during this week, I had a lot of airport time due to going to Spark Summit Europe to give a talk.
Some data engineering, a bit of Haskell, programming music, Python and random bits and bobs. I recommend you play with the third. Several good books this week, as I have ramped up my reading: current goal would be 52 this year.