Can datasets remove duplicated rows?
> Hi ! For now this is probably the best option.
> We might add a feature like this in the feature as well.
> 
> Do you know any deduplication method that works on arbitrary big datasets without filling up RAM ?
> Otherwise we can have do the deduplication in memory like pandas but I feel like this is going to be limiting for some cases

Great if this is can be done. Thanks!!

Not sure if you are asking me. In any case I don't know of any unfortunately :( in practice if data is really large we normally do it with spark (only for info. I understand this is not useful in developing this library..)
**Is your feature request related to a problem? Please describe.**
i find myself more and more relying on datasets just to do all the preprocessing. One thing however, for removing duplicated rows, I couldn't find out how and am always converting datasets to pandas to do that..


**Describe the solution you'd like**
have a functionality of " remove duplicated rows"

**Describe alternatives you've considered**
convert dataset to pandas, remove duplicate, and convert back...


**Additional context**
no
Can datasets remove duplicated rows? 
 **Is your feature request related to a problem? Please describe.**
i find myself more and more relying on datasets just to do all the preprocessing. One thing however, for removing duplicated rows, I couldn't find out how and am always converting datasets to pandas to do that..


**Describe the solution you'd like**
have a functionality of " remove duplicated rows"

**Describe alternatives you've considered**
convert dataset to pandas, remove duplicate, and convert back...


**Additional context**
no 
 > Hi ! For now this is probably the best option.
> We might add a feature like this in the feature as well.
> 
> Do you know any deduplication method that works on arbitrary big datasets without filling up RAM ?
> Otherwise we can have do the deduplication in memory like pandas but I feel like this is going to be limiting for some cases

Great if this is can be done. Thanks!!

Not sure if you are asking me. In any case I don't know of any unfortunately :( in practice if data is really large we normally do it with spark (only for info. I understand this is not useful in developing this library..)