On Fri, Mar 13, 2009 at 3:20 PM, Andy Wallace <awall...@cisdata.net> wrote:

> aaaaaaaarrrrrrrrrrrrggggggggggggggghhhhhhhhhhhhhhhhhh
>
>
> mich...@j3ksolutions.com wrote:
>
>> On Fri, 13 Mar 2009, mich...@j3ksolutions.com wrote:
>>>
>>> Explanation(5): The more you understand how the database is to be used,
>>>> and the more complexity and thought you put into your database design,
>>>> the
>>>> less complex it will be to retrieve reliable information out of it.
>>>> Furthermore, (and this is probably what makes me crazy when Nulls are
>>>> evolved) after a ten year stretch of software development, where I and a
>>>> team designed our own databases, I did a nine year stretch of
>>>> statistical
>>>> programming, using databases designed by other people, and Nulls in the
>>>> data made the results unpredictable, and yeah, made me crazy! I had to
>>>> write nightly processes to resolve inconsistencies in the data, if at
>>>> least report inconsistencies. You know the old saying "Garbage in =
>>>> Garbage out", to me Nulls are garbage, and if there is a good reason for
>>>> nulls to be a part of good clean data then someone please help me
>>>> understand that.
>>>>
>>> Hi
>>>
>>> I'm in a argumentative mood today too. :-)
>>>
>>> I have a database logging weather data. When a station does not report a
>>> temperature, it is set to NULL. It would be a very bad idea to set it to
>>> 0
>>> as this would ruin the whole statistics.
>>>
>>> NULL is a perfectly valid information in many cases.
>>>
>>> Cheers
>>> Thomas
>>>
>>>
>>
>> OK! I do understand, thank you.
>>
>> But hypothetically speaking, what value would you use if you didn't have a
>> "I don't what this is" value  like null?
>>
>> I ask this because I started programming when NULL was really zero, and
>> part of the ASCII collating sequence.
>>
>>  I'd use -99999.9999, I'd never allow a "i don't know what it is" value
>> like Null in my database.
>>
>>
>> Mike.
>>
>>
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