I read the paper  attached, but I am not really sure I understood what
makes the Bigtables score over other methods of data storage & access.

How exactly are they better than other data structures?

On Oct 2, 9:19 pm, Prabhu Hari Dhanapal <[email protected]>
wrote:
> @ eKay , great  question  dude!
>
> It seems that they use a data structure called BIGTABLE , I  guess u
> understand that it just not maps but there are other applications like
> earth  , finance etc.,  which  require the same amount of complexity in
> storing as that of maps.
>
> It seems that , " BIG  table " is being  tweaked for each of these
> applications .. however the basic concept remains the same,
>
> I have attached a paper published by google on  big table - u might find
> that interesting !! :)
>
> If u liked bigtable, u might as well read abt hadoop
>
> Cheers!
>
>
>
> On Fri, Oct 2, 2009 at 7:43 AM, eSKay <[email protected]> wrote:
>
> > for example Google Maps, the amount of data is HUGE, and then you need
> > to be able to plot the path from one place to other, search
> > efficiently in the nearby area, zoom in, zoom out, show hundreds of
> > views etc.
>
> > I don't think the data structure used would be anything simple like -
> > nodes are cities and paths are edges?
>
> > What would be more efficient? Does anybody have any idea as to what
> > datastructure(s) is actually used for these purposes?
>
> --
> Hari
>
>  bigtable-osdi06.pdf
> 291KViewDownload

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