Paul / Trent,
THX guys for those responses. Actually, I was thinking more in the
direction of Business Intelligence
<
http://opensource.com/business/14/6/three-open-source-business-tools>,
or Web Site Scraping <
http://scrapy.org/>. The direction I am going in
is to find something out there, versus parse data, on an existing data
base. If, that makes sense to the both of you. Or, do I have it all
wrong here?
The project I am working on is to find possible candidates, with a
European partner, for the bolt-on acquisition of a certain type of
Biotech company. He ran a NASDAQ listed company, and I worked directly
for him. We've run the gamut, of our global contacts, and are looking to
dig deeper. That, at several levels.
To be honest, we always relied up IT, but probably never asked the right
questions. Or, vice versa. See the conundrum here?
If you've got any other ideas, please do get back to me. I've been
running Linux forever. The reason was simple. I got tired of playing M$
S/W Engineer, and being asked, in Taiwan, or other countries, to insert
my original M$ CD. LOL!
THX again for your time!
John
On 09/09/2014 12:38 AM, Paul Mooring wrote:
> R definitely is the standard currently, but I would add Julia to the
> list of notable languages for data science. Also while it's much less
> popular, I've played with Incanter (a statistics/data science library
> for clojure) a bit and found it delightful. My experience with
> Incanter does come with the disclaimer that I've never needed to work
> with "big data", no need for hadoop/map reduce and also I like lisps a
> good bit and that probably colors how anyone would feel about working
> with clojure vs working with R.
>
> On Mon, Sep 8, 2014 at 4:39 PM, trent shipley <trent.shipley@gmail.com
> <mailto:trent.shipley@gmail.com>> wrote:
>
> In open source the basic statistical tool pretty much seems to be R.
> I get the impression that it works well, though not as well as SPSS,
> and not nearly as well as SAS.
>
> The database varies with what kind of data science/data analysis/data
> mining you want to do. What kind of data do you intend to collect?
> What do you want to do with the data? How big is the data? Is it
> relational? Is it organized in some sense? Is XML or text based? Is it
> on a transactional production database? Does the database have to
> approach ACID compliance?
>
> Or do you just want a laundry list of open source databases, their
> associated tools, and possible open source analysis tools?
>
> On Mon, Sep 8, 2014 at 2:51 PM, John J. Macey <jjmacey@gmail.com
> <mailto:jjmacey@gmail.com>> wrote:
> > Hi All,
> >
> > A bit of a background here. I was out in AZ, a much senior
> student @ ASU,
> > and a 2 time visitor at the PLUG. Because of family
> circumstances, I had to
> > return to New Jersey to attend to an elderly Mother.
> >
> > I work as a consultant in the Biotech / Life Science / Medical
> Device field.
> > The general background is here.
> >
> > I deal with projects, that now involve gathering / scrapping /
> data mining /
> > gathering business intelligence. Basically, this is global, and
> I'd thought
> > I'd ask here in the PLUG. The data mining is not in regard to an
> enterprise,
> > or a vast supply of stored data. I've looked into creating APIs,
> Google+,
> > etc., etc. So, I am not throwing this question out there lightly.
> >
> > Does anyone have experience with any of the open source business
> > intelligence tools? Funny thing is, I had found something simple
> about 20
> > years ago. Things have changed. LOL!
> >
> > Thanks in advance for any responses.
> > --
> >
> > John
> >
> > --------
> >
> > John J. Macey
> > Wildwood, New Jersey
> > Phone: 480-242-1503 <tel:480-242-1503>
> >
> > ---------------------------------------------------
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>
>
> --
> Paul Mooring
> Operations Engineer
> Chef
>
>
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