Right Approach. But i would appreciate if you can publish the numbers, will
be helpful.


On Thu, Dec 8, 2011 at 2:28 PM, Roni Biran <[email protected]> wrote:

> 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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