2 ms·

Until thumb drives became large enough to fit most datasets it stopped becoming Big Data. Just normal data.

ffsm8 6mo ago
We have thumb drives that can store petabytes of data? Or did you mean the "big data" crowd which thought 500GB was noteworthy? I don't think anyone took those serious, neither in 2010s nor now. That was always "small" data
- varispeed 6mo ago
  Most companies using term "big data" had datasets in TB region. One company I had a gig at had full Hadoop cluster setup and their whole dataset was 40GB. Their marketing had all the big data adjacent keywords over the brochures for clients.
  - gf000 6mo ago
    That's a decent quality 3 hours movie :D
- butlike 6mo ago
  > We have thumb drives that can store petabytes of data We do?
  - ffsm8 6mo ago
    Please provide a link.
    - BizarroLand 6mo ago
      You would need 4 and change of these 245tb Kioxias to hold 1 petabyte, and an entire server grade computer to run them. https://www.tomshardware.com/pc-components/ssds/kioxia-unveils-245tb-ssd-the-worlds-highest-capacity-storage-device-could-store-12-500-4k-movies https://www.tomshardware.com/pc-components/ssds/kioxia-unvei... Or 250 of these ~$400 4tb flash drives and an insane number of dongles to connect them all: https://www.slashgear.com/1847725/largest-usb-thumb-drive-highest-capacity-can-buy/ https://www.slashgear.com/1847725/largest-usb-thumb-drive-hi...
      - vunuxodo 6mo ago
        Plus one more for your parity drive.
  - dylan604 6mo ago
    It was a question that you've edited out the punctuation. You're asking the exact same thing as the person you've replied
- 0x457 6mo ago
  My rule of thumb was "can it fit in RAM on a server?" If it can, then it's not big data. 500GB is in the "fits" category.
  - gf000 6mo ago
    You can quadruple that and could still fit in server RAM
    - 0x457 6mo ago
      Correct, and until then it won't be "big data"
jmalicki 6mo ago
To some degree IMO big data is still a mindset when it might take a day to process your data in a normal SQL query. Some tech doesn't scale to the data size for all use cases, and you need different solutions.

ffsm8 6mo ago

We have thumb drives that can store petabytes of data? Or did you mean the "big data" crowd which thought 500GB was noteworthy? I don't think anyone took those serious, neither in 2010s nor now. That was always "small" data

varispeed 6mo ago
Most companies using term "big data" had datasets in TB region. One company I had a gig at had full Hadoop cluster setup and their whole dataset was 40GB. Their marketing had all the big data adjacent keywords over the brochures for clients.
- gf000 6mo ago
  That's a decent quality 3 hours movie :D
butlike 6mo ago
> We have thumb drives that can store petabytes of data We do?
- ffsm8 6mo ago
  Please provide a link.
  - BizarroLand 6mo ago
    You would need 4 and change of these 245tb Kioxias to hold 1 petabyte, and an entire server grade computer to run them. https://www.tomshardware.com/pc-components/ssds/kioxia-unveils-245tb-ssd-the-worlds-highest-capacity-storage-device-could-store-12-500-4k-movies https://www.tomshardware.com/pc-components/ssds/kioxia-unvei... Or 250 of these ~$400 4tb flash drives and an insane number of dongles to connect them all: https://www.slashgear.com/1847725/largest-usb-thumb-drive-highest-capacity-can-buy/ https://www.slashgear.com/1847725/largest-usb-thumb-drive-hi...
    - vunuxodo 6mo ago
      Plus one more for your parity drive.
- dylan604 6mo ago
  It was a question that you've edited out the punctuation. You're asking the exact same thing as the person you've replied
0x457 6mo ago
My rule of thumb was "can it fit in RAM on a server?" If it can, then it's not big data. 500GB is in the "fits" category.
- gf000 6mo ago
  You can quadruple that and could still fit in server RAM
  - 0x457 6mo ago
    Correct, and until then it won't be "big data"

jmalicki 6mo ago

To some degree IMO big data is still a mindset when it might take a day to process your data in a normal SQL query. Some tech doesn't scale to the data size for all use cases, and you need different solutions.