[Info-vax] Should VSI create a modern day VMS applications book ?

[Bill Gunshannon]

On 08/19/2018 03:09 PM, Kerry Main wrote:
>> -----Original Message-----
>> From: Info-vax <info-vax-bounces at rbnsn.com> On Behalf Of Arne Vajhøj
>> via Info-vax
>> Sent: August 19, 2018 2:30 PM
>> To: info-vax at rbnsn.com
>> Cc: Arne Vajhøj <arne at vajhoej.dk>
>> Subject: Re: [Info-vax] Should VSI create a modern day VMS applications
>> book ?
>>
>> On 8/19/2018 9:34 AM, Neil Rieck wrote:
>>> On Sunday, August 19, 2018 at 12:15:53 AM UTC-4, Dave Froble wrote:
>>>> On 8/18/2018 11:25 PM, Arne Vajhøj wrote:
>>>>> On 8/18/2018 1:13 PM, Phillip Helbig (undress to reply) wrote:
>>>>>> Big data is like teenage sex: everyone talks about it, nobody
>>>>>> really knows how to do it, everyone thinks everyone else is doing
>>>>>> it, so everyone claims they are doing it.
>>>>>>
>>>>>> ---Dan Ariely
>>>>> Big data is being used.
>>>>>
>>>>> Intelligence agencies, social media, retail, health care, election
>>>>> campaigns, science, sports etc..
>>
>>>> Don't have a clue what "big data" actually is.  Now, if it's the
>>>> social media junk, I think calling it "data" is sort of a stretch ...
>>>
>>> Many in our industry don't know what it means but it is something that
>> started in 2003 when Google published an ACM paper describing GFS (the
>> Google File System) which later morphed into Hadoop and other stuff. Big
>> Data really exploded in 2007 but, according to some, the financial meltdown
>> of 2007-2008 obscured this paradigm shift.
>>>
>>> Anyway, here is my point-form explanation for whatever its worth
>>>
>>> http://neilrieck.net/docs/technological_change.html#epiphany11
>>
>> There are a couple of perspectives:
>>
>> data science perspective - what data are there and what business value an
>> they provide
>>
>> IT perspective - how the fuck do we store and search all that data
>>
>> Due to our background we may find the second more interesting.
>>
>> But it is actually the first that is most important - if there is money to be made
>> crunching PB of data, then the IT guys will find a technical way to crunch PB of
>> data.
>>
>> Arne
>>
> 
> <https://www.lifewire.com/what-exactly-is-big-data-4051020>
> " 50% to 80% of big data work is converting and cleaning the information so that is searchable and sortable. Only a few thousand experts on our planet fully know how to do this data cleanup."
> 
> Like the large data warehouses of the past,  garbage in, garbage out. If the data is not cleaned up, then it will produce crappy and/or inaccurate results.
> 

And even if it is cleaned up it may still be garbage, but I am
sure they will find someone to pay for the results gathered by
sorting and searching the garbage.

bill