Well, I'm using .NET webservices to retrieve large scale data from MS SQL.
I'm grouping my data into cascaded objects (similar to the group function),
thus shortening the data rows.
In my drawing functions, I'm calling a function that knows which part of
the data to obtain. This data I'm transforming into google datatables which
the charts can render very fast.
In this way, I'm using a small portion (that I need for the chart) instead
of very large scale.



On Thu, Dec 8, 2011 at 10:51 AM, syed arifullah badsha s <
[email protected]> wrote:

> Thanks Roni.
> I am interested in your work, Visualization speaks a lot than words.....
> :-)
>
>
> On Thu, Dec 8, 2011 at 1:17 PM, Roni Biran <[email protected]> wrote:
>
>> I think that you're right although, for display reasons the data will be
>> grouped which will shrink it to a reasonable count.
>>
>>
>> On Thu, Dec 8, 2011 at 8:41 AM, syed arifullah badsha s <
>> [email protected]> wrote:
>>
>>> Thanks for your update.
>>>
>>> I believe, one day you will consider 1 billion data as a light wight for
>>> the client programming :-)
>>>
>>>
>>>
>>>
>>>
>>>
>>> On Wed, Dec 7, 2011 at 6:45 PM, Roni Biran <[email protected]> wrote:
>>>
>>>> well..... since it's a client based issue I can only say that this is a
>>>> function of the hardware you're using.
>>>> If you have a very large datatable the chart rendering will be the
>>>> same. You must take into account the chart type you're using, for instance,
>>>> if you're drawing a line/area chart there is no need/significance to a
>>>> datatable larger than, let's say, 2000 rows since you a large chart to
>>>> see all items. That's the same with other charts.
>>>> You can load a very large datatable, either by JSON/Ajax/Spreadsheets
>>>> or other database connections and modify/query it for chart usage, via
>>>> grouping or dataviews generation.
>>>>
>>>> I, for instance, use a complex data (multi-level array) structure and
>>>> before drawing, I create a datatable with all that I need. At the end, I
>>>> managed to scale my data from 25,000 rows into 1,000. It's much more
>>>> efficient and fast.
>>>>
>>>> You might want to think on your data before dropping large scale data.
>>>> Just a reminder, this is client side programming, and everything must be
>>>> light weight, even the data.
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Dec 7, 2011 at 2:14 PM, [email protected] <
>>>> [email protected]> wrote:
>>>>
>>>>> Awesome work. Google always keeps us Googled.
>>>>> I would like to know how much of data can this visualization can
>>>>> support.
>>>>> Is it bench marked?
>>>>> can it support billion data ?
>>>>>
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