pacuna

8 ms·

31.
by pacuna 8y ago
+1. Not easy to setup if you have little cloud experience, but once you have it running, it works really well. I have a fast setup for the ones who like containers and Kubernetes: https://github.com/pacuna/snowplow-pipe
32.
by pacuna 8y ago
Nice!
33.
by pacuna 8y ago
Sounds kind of similar to CMU's Peloton.
34.
by pacuna 8y ago
I don't think people choose to be psychopaths, they just are.
35.
by pacuna 8y ago
AWS CLI APIs in general are very clean and intuitive to follow through their help menus.
36.
by pacuna 8y ago
In my experience, learning something hard without applying it to a real problem during several weeks or months, spending hours trying to solve weird errors is impossible. Keep in mind that learn something is very different to understand som
37.
by pacuna 8y ago
Nice resources. Mostly focused on the Big Data aspects of data engineering. I would also suggest to check out some advanced SQL and ETL books or courses.
38.
by pacuna 8y ago
Pretty excited to see Fintual on that list. It's the first Chilean startup that got accepted.
39.
by pacuna 8y ago
I was thinking the same thing. I believe with the latest changes in the algorithm this should be even harder.
40.
by pacuna 8y ago
your link points to the data warehouse toolkit, not the ETL one.
41.
by pacuna 8y ago
Build a web scrapper and save some raw data in somewhere like S3. Then run some job on top of that data to get aggregated measures and save them somewhere. I built a project[1] like this and learned a lot in the process. I used airflow to r
42.
by pacuna 8y ago
yes. It uses schema-on-read so it doesn't support indices as far as I know. And yeah, it scans through the data using the schema you define previously
43.
by pacuna 8y ago
The serverless capabilities is the big plus IMO. You pay for query. If you go with a typical OLAP system like redshift you need a cluster with a minimum number of machines I believe. I think it compares more with something like BigQuery but
44.
by pacuna 8y ago
I would say you're using the closest (not really) comparison
45.
by pacuna 8y ago
Doesn't work well in Fedora 28 running on Wayland which is my environment.
46.
by pacuna 8y ago
An app that shows the most demanded technologies for a lot of different IT careers: https://skills.technology/software-developer
47.
by pacuna 8y ago
Iterm is probably the only thing I miss from MacOS when I'm on my Linux machine.
48.
by pacuna 8y ago
Designing Data‑Intensive Applications. For Data Engineering
49.
by pacuna 8y ago
Yes, and besides they have other tools gaining traction, like F# which I've heard good things about.
50.
by pacuna 8y ago
Oh man, probably never. Too many big companies depend on MS stack I guess.
51.
Show HN: Discover the most requested technologies for IT Jobs(skills.technology)
2 points by pacuna 8y ago|4 comments
52.
by pacuna 8y ago
True. But it's also important to know what they do with the data. We all knew that FB had our data. What we didn't know is that it was being used to do unethical stuff by companies like Cambridge Analytica.
53.
by pacuna 9y ago
no, not really
54.
by pacuna 9y ago
I've been using Mailspring for a couple of months now on Linux and it's been a very good experience. I think it's better than Thunderbird if you are more used to webmail clients.
55.
by pacuna 9y ago
Damn, I had trouble finding more than 3 degrees
56.
by pacuna 9y ago
For me it would be Fedora using Gnome
57.
by pacuna 9y ago
Does anyone know where I can find podcasts to improve German?
58.
by pacuna 9y ago
good luck with that
59.
by pacuna 9y ago
- Fooled by randomness by Nassim Taleb - Sapiens by Yuval Harari - The invention of nature by Andrea Wulf - The subtle art of not giving a f*ck by Mark Manson - Philosophy of Science: Very Short Introduction by Samir Okasha
60.
by pacuna 9y ago
You mentioned several different topics which would take a long time to learn. I could help you with a Ruby path: - Learn the basics of Ruby (what's happening behind the API) - Learn the basics of Rails (what's happening behind the

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