Ranter
Join devRant
Do all the things like
++ or -- rants, post your own rants, comment on others' rants and build your customized dev avatar
Sign Up
Pipeless API
From the creators of devRant, Pipeless lets you power real-time personalized recommendations and activity feeds using a simple API
Learn More
Comments
-
Lukas18698yYou whine somewhere else, grampa!;) Just kidding: it's true. Technology is simply evolving too fast to stay up to date. I also have this feeling of always running behind...
-
My advice is don't follow the hype, learn the facts and base your opinion and what you use on that.
-
xarvier758yI agree. It is just that I can't stand people who blindly follow the trend without knowing the ups and downs.
-
xarvier758y@oroys
Every new technology will have an advantage over the legacy ones. But I don't want people to blindly discard the old ones :/ -
xarvier758y@vivek7
True. Industries are using Hadoop already. Although spark has its advantages (In memory processing)
it will take time to replace Hadoop .
I can't understand how people use Scala. -
vivek78238y@xarvier people are developing pig and hive to run on spark so that existing resources can be used for analytics with benefits of spark
btw scala is hard to learn but a powerful language
m wondering why they chose scala for spark .anybody know why any specific reasons -
@oroys There is a difference between trying it and using it because that's what everyone else uses.
-
lots of companies jumped on the hadoop bandwagon. But Google itself doesn't use it anymore. But I guess it really depends on your needs in the company (and on the marketeers that your CEO meets).
-
@Charmgoggles then again, I don't know, I just hear this stuff on software engineering daily and the changelog podcasts
There was this 'Hadoop' trend going on. So I thought that i'll start Hadoop. After one month people have started to trend Spark claiming that it is faster. -.-
And now I am outdated.
undefined
#trend #bigdata #spark #hadoop