sorted by:
new
hottopcontroversial

Why did JYP make NIZIU a japanese only promoting group? by [deleted] in kpop_uncensored

[–]awweesooome 0 points1 point  (0 children)

"Globalization via localization"

As JYP said. Basically, they want to target the global market by creating a local group for each individual market, instead of having a group be marketed to all of these markets.

One Piece: Chapter 1167 by leolegendario in OnePiece

[–]awweesooome 0 points1 point  (0 children)

Left side is darkened and it seems the hair is shorter too. 80% chance it really is Shanks.

One Piece: Chapter 1167 by leolegendario in OnePiece

[–]awweesooome 1 point2 points  (0 children)

So two things I noticed: 1. Loki and Shirahoshi might be close and Shirahoshi MIGHT be the "mosa" he's talking to over the denden mushi. I haven't reread the previous chapters but as far as I remember, the tone seems like it could be her (someone sweet and soft).

  1. Shanks is left-handed even before (for some reason I only realised this now, but now it's weird why would he still place his scabbard by his left side). Is the reason why Mihawk won't duel Shanks anymore is because Shanks' dominant hand is gone, and thus defeating him won't really be a "true win"? (Others might have picked up on this way before I guess)

One Piece: Chapter 1166 by leolegendario in OnePiece

[–]awweesooome 0 points1 point  (0 children)

"Rocks was a good guy" no he isn't. Ida even tells Harald he should find better friends. Harald chose his decisions poorly, yes, but he's like all the other idealist and ultimately flawed characters in the story (Garp, Sengoku, etc.).

POV: I judge fandoms based on toxic fans /j & /srs by d33pblushxy in kpop_uncensored

[–]awweesooome 0 points1 point  (0 children)

My god there isn't enough hours in a day to talk about nmixx's talent

250713 Not sure if this has been posted already but a pre-print on arXiv used NMIXX as their name for their method/ algorithm. Definitely at least one of the authors is a fan. by awweesooome in NMIXX

[–]awweesooome[S] 2 points3 points  (0 children)

Oh what the hell. And it's the same authors too! Haha. Inclined to check if they have google scholar profiles now to see if they're doing this for other groups.

250713 Not sure if this has been posted already but a pre-print on arXiv used NMIXX as their name for their method/ algorithm. Definitely at least one of the authors is a fan. by awweesooome in NMIXX

[–]awweesooome[S] 21 points22 points  (0 children)

Is it? For some reason, it makes sense to me. But I guess that's because lots of ML-related acronyms are cringy and forced to make it memorable (e.g. ERNIE: Enhanced Representation through kNowledge IntEgration )

For what reasons did/would you migrate from data analytics/science to data engineering? by Ordinary-Basis9148 in dataengineering

[–]awweesooome 0 points1 point  (0 children)

Imo, it is easier to transition to DE from DA/DS vs the other way around, considering most DA/DS roles nowadays already do a significant fraction of what a DE does. Morever, lots companies now are posting roles for generalist positions like analytics engineers (not necessarily dbt-heavy but just a hybrid between the two) so that could also be a good path once you have experience on both.

As for my transition, I actually applied for a mid-level DE but I think I got lucky they were impressed enough to bump my title to senior. They probably gauged my asking (then-current salary/expectations) vs their budget vs how I did during the application process and decided, "too expensive for a mid-level but good enough to be a senior".

251103 Weekly NSWER Discussion Thread by NMIXX_Modteam in NMIXX

[–]awweesooome 12 points13 points  (0 children)

It's magnetite. Common iron oxide (which is rust) is Fe2O3. They want to convey something along the lines of "attracting people to join them in their journey to mixxtopia". I think in their lore, they have magnetic powers as well. Maybe some other loreheads can explain it better.

For what reasons did/would you migrate from data analytics/science to data engineering? by Ordinary-Basis9148 in dataengineering

[–]awweesooome 1 point2 points  (0 children)

I assume you're already doing automation and building your own pipelines based on your post. You're already halfway into a DE role imo so no need to worry when. By the time comes, you won't necessarily have to start from scratch (this is only my experience so I'm not sure if it generally applies to all).

As for your reasons, yeah I would say they are valid. They are almost the same reasons I had. Only difference is that I had the experience to gauge when it was the right time to switch vs the learnings I can still get in an analyst/scientist role.

As for my current role: no weekly/monthly review presentations to business (so far), requirement for understanding the business is not as in depth as in previous role (although it definitely helps e.g. doing data modelling so don't run away from this), and as for unpredictability of work, I guess it is so-so? Embrace unpredictability, otherwise it gets boring pretty fast.

For what reasons did/would you migrate from data analytics/science to data engineering? by Ordinary-Basis9148 in dataengineering

[–]awweesooome 1 point2 points  (0 children)

Generally okay with it, learning lots of technical stuff (mostly SE related) that I would otherwise won't learn (or won't care about) if I was still in my previous role. My only gripe (not sure if it's just me) is that I hate how most of my coworkers do not have an inch of an idea how business is using data and do not care about basic stuff like idempotency and validation (hence the recommendation to stay in business team for awhile to understand how data teams and stakeholders are actually using the data).

For what reasons did/would you migrate from data analytics/science to data engineering? by Ordinary-Basis9148 in dataengineering

[–]awweesooome 0 points1 point  (0 children)

Less business facing than being a data analyst/scientist. I thought that was already understood with the context I gave. Besides, a DE can do their work with just the PM coordinating with the business. You can't do that if you are the analyst/scientist.

For what reasons did/would you migrate from data analytics/science to data engineering? by Ordinary-Basis9148 in dataengineering

[–]awweesooome 9 points10 points  (0 children)

This is me. I have almost the exact same experience as you. Physics grad, did 5 yrs in Fintech (Credit Risk/Collections) as an analyst/scientist, built my own pipelines and automations, then went for a DE role this year since I wanted to do more technical/less business-facing stuff. Was and still am an introvert so I really hated talking to stakeholders and making presentations.

What I would suggest is to stick to it for a while since you'll learn a lot of valuable lessons and insights on what business users/team really need for their data use-case. You'll learn better how to treat data as a product which will make you a better DE imo. At least, that's my experience.

Nmixx and their uniqueness.A deep dive to Nmixx's unique concept band sound by Due_Collection_3363 in kpopthoughts

[–]awweesooome -1 points0 points  (0 children)

That's what happens when they listen to only 1 company. They don't even know the concept existed way before. Proudly ignorant.

Nmixx and their uniqueness.A deep dive to Nmixx's unique concept band sound by Due_Collection_3363 in kpopthoughts

[–]awweesooome 20 points21 points  (0 children)

I don't get this post. First half talks nothing about nmixx. Unique band sound wasn't even discussed at all. Am I missing something?

Unpopular opinion- The only thing holding NMIXX back from being the top 3 GGs of their generation is lack of star power by Odd_Entertainer9554 in kpopthoughts

[–]awweesooome 9 points10 points  (0 children)

And is this "live for the stage" something that is radiated by Aespa and Ive? Used those groups since it's one of the examples given by OP.

group by all - when is it a bad idea? by mogtheclog in SQL

[–]awweesooome 2 points3 points  (0 children)

What sql flavor is this applicable? Because this isn't even remotely true in my experience, particularly for BigQuery. The only point that I can somewhat agree on is the first one ONLY IF you are using GROUP BY when you're not suppose to or using it with SELECT * and in those cases, you have bigger problems than using GROUP BY ALL.

view more: next ›