Consider a flat file formatted according to the following Cobol copybook:
05  TRFL-DATE               PIC 9(9)  COMP-3.
05  TRFL-TIME               PIC 9(5)  COMP-3.
05  TRFL-CALLING-CUST       PIC 9(9)  COMP-3.

I m facing a issue, in search condition in where clause to be very
specific.
I have a table events which has title column with varchar(255) data
type.

In continue to my question,what is exactly a schema and how do I find its
name?

Consider you have two tables - for example, "user" and "url". Now there
are several attributes for each m:n relation that can be set
independently; for example, "visited", "bookmarked" and "open on
startup". Some of these are only set for few of the m:n relations,

I have been writing a program to manage a database of SQL interfaced to DB2.
The problem is,that when I run the program I get a massege,error:
DB2 SQL Error: SQLCODE=-204, SQLSTATE=42704, SQLERRMC=Name.NUMBERS, DRIVER=3.
50.152  

Here my situation: good knowledge of programming in general, good
knowledge on relational databases in general.. no specific knowledge
I've worked in access, SQLServer, MySQL and php (a lot with this one),
SqLite and Ruby/Python...

can anybody tell me how to find near duplicates in a large amount (20
million) short text labels?
Is there any database tool which does just this?
I give you some examples:

I was wondering which of the design approaches below would be better:
Within the admin section of a website administrators can upload
Resources for inclusion throughout the site.  Now, these Resources can
be either images, videos or documents e.g. PDF's, etc.

how correct is the following diagram showin g modules of a
DBMS ...????
http://i529.photobucket.com/albums/dd339/aarklon/5.jpg

I am an enterprise computing newbie. Don't know the right forum on the
Net, so am taking the liberty to post this query of mine here... on
the necessarily correct assumption that a lot of smart and experienced
developers:

I have read that data mining is the process used to find new ,hidden
or un expected patterns in the data to predict the future of the
business & that data mining is based on various statistical
techniques .