Reflections | Readings
31 May 2023
2 minutes to read
A month has passed since my last week’s review. A bit has happened since and I’ve gotten around to playing D&D with friends. It seems like an ancient game but it provides a lot of fun. I’ve also been trying to rethink what might be the next thing. I’ve for some reason not gotten the energy to advance on the talks but I’m guessing this is where I got the most done. Teaching is one of the best ways to learn. The idea of getting a book published is a long-term goal but I want to write and present a lot more before I gather enough material for a book.
So, I’ll be revisiting my idea of getting back into conferences and meetups. Doing one meetup per month and a conference a year would be my end goal. And getting again into both data mesh and the metrics layer might be good data themes. Or I could just push for the experimentation mentality. This seems like something so generic but so important to implement… Having a culture of experimentation is something that I’ve seen in a few companies but it’s not easy to implement. So it could be a very interesting take and wouldn’t necessarily be only the hot topic.
Readings of the week
- Orchestration isn’t going anywhere - by Nick Schrock
- The next big step forwards for analytics engineering
- Hugging Face Presents HuggingChat, Open Source Alternative to ChatGPT
- Exciting SQLite Improvements Since 2020
- Why you should teach at a Community College | Timo Zander
- CLI tricks every developer should know | The GitHub Blog
- What’s the point of tech conferences? – Chelsea Troy
- Scaling up the Prime Video audio/video monitoring service and reducing costs by 90% - Prime Video Tech
- Read Every Single Error | Pulumi Blog
- Announcing DuckDB 0.8.0 - DuckDB
- Writing summaries is more important than reading more books — Andreas Fragner
- How WebAssembly is Eating the Database, One UDF At a Time
- Real-time time series anomaly detection for streaming applications on Amazon Kinesis Data Analytics | AWS Big Data Blog
- Continuous Data Quality Monitoring for AWS Athena — Lariat Data
- You don’t need a data warehouse
- PostgreSQL: PostgreSQL 16 Beta 1 Released!
- Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes | AWS Big Data Blog
- You Don’t Always Need Indexes
- 300ms Faster: Reducing Wikipedia’s Total Blocking Time
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.