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Do you know long it takes to staff and train an entire data engineering department? It'll be minimum a year until its staffed to appropriate levels given the sh
by babelfish 4y ago
Do you know long it takes to staff and train an entire data engineering department? It'll be minimum a year until its staffed to appropriate levels given the sheer amount of data Twitter generates every day, and another year for that team to reach any level of competence. He's driving Twitter into the ground.
- adammarples 4y agoI expect they will hire data engineers that don't need a year of training. It's not that hard.
- babelfish 4y agoIt's not that hard if they have access to sufficient training, organizational knowledge, and mentorship. That was just wiped out entirely. Every new data engineering hire for the next year will be figuring it out from scratch.
- christkv 4y agoI bet you he is bringing in a team of Tesla engineers from their ml and data science departments.
- feet 4y agoBecause they've made so much progress on autonomous driving, right?
- alfalfasprout 4y agoLOL @ the person that thinks it's not hard to hire experienced data engineers. There's tons of junior folks around but hiring someone that has experience with working with complex data at the scale twitter has is not easy at all.
- splitstud 4y ago
- duskwuff 4y agoIt's going to be especially hard to restaff the team with the implicit threat of "and if you don't tell Elon what he wants to hear, he'll fire the entire team again" hanging over it.
- PM_me_your_math 4y agoTwitter has always been poorly run. They've only been profitable two out of the last 10 years despite user growth. 2012: $79MM loss 2013: $645MM loss 2014: $577MM loss 2015: $521MM loss 2016: $456MM loss 2017: $108MM loss 2018: $1206MM gain 2019: $1466MM gain 2020: $1136MM loss 2021: $221MM loss Given billions in accumulated losses, where else did you think twitter was, other than in the ground? It certainly wasn't in the sky.