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** Brief description
Retrieve all companies information/addresses from a web dictonary (exhibition) and store them in a SQL database
for future processing in a marketing departement.
Retrieve (automatically, programly, using a program) and fill-in
- SQL table company (addresses, type of business and type of companies)
- SQL table contactpersons,
from a exhibition website and store these data into a SQL database (mysql). A basic draft of the database schema is defined below.
To avail mistakes and also because of the amount of companies
(about 4k to 6k), the data retrieval should be done using a small, selfwritten program/script.
This program/script is also part of the project.
** Task 1:
Create inital database by retrieving
all companies and contact persons from the 12 "display categories" on
http://www.cebit.de/search_akl (linked from linked from http://www.cebit.de/exhibitorsproducts)
like "ICT Infrastructure", "Business IT", ..
Sample: categories "ICT Infrastructure": 594 companies
This task will fill-in the SQL-table "Company" and "ContactPerson"
Do avoid duplicates of companies. Be carefull - companies could be
in more than one categories.
** Task 2:
Qualify all retrieved companies by "Section" and "ProductCategory"
using the qualification links
ProductCategory # http://www.cebit.de/search_pg
Section # http://www.cebit.de/search_zb
Therefore, setup initialize first the 2 qualification tables
manual (?) and than set the relating ProductCategory and Section
to each company in the database:
company.PC_ID # foreign key to ProductCategory.ID with the higest level
company.SI_ID # foreign key to Section.ID with the higest level
** Project output:
- SQL-Dump with all companies, related information and qualifications like defined in the tasks.
- Program doing the retrieval of data from the website.
including a small README/HOWTO how to use this script.
** Draft Database schema
TABLE company # source: http://www.cebit.de/search_akl (go throught 12 display categories)
# main information
Type of company
# location cebit2010
PC_ID # foreign key to ProductCategory.ID with the higest level
SI_ID # foreign key to Section.ID with the higest level
TABLE ContactPerson # source: http://www.cebit.de/search_akl (go throught 12 display categories)
companyId # foreign key to company.ID
TABLE ProductCategory # source: http://www.cebit.de/search_pg
ParentPC_ID # foreign key to ProductCategory.ID, NULL if it's the root ProductCategory (no parent)
TABLE Section # source: http://www.cebit.de/search_zb
ParentSI_ID # foreign key to Section.ID, NULL if it's the root section (no parent)