Normalizing Address Information...

Dec 27, 2003

THE LAYOUT:


I have two tables: "Applicant_T" and "StreetSuffix_T"





The "Applicant_T" table contains fields for the applicant's current address, previous address and employer address. Each address is broken up into parts (i.e., street number, street name, street suffix, etc.). For this discussion, I will focus on the street suffix. For each of the addresses, I have a street suffix field as follows:





[Applicant_T]


CurrSuffix


PrevSuffix


EmpSuffix





The "StreetSuffix_T" table contains the postal service approved street suffix names. There are two fields as follows:





[StreetSuffix_T]


SuffixID <-----this is the primary key


Name





For each of the addresses in the Applicant_T table, I input the SuffixID of the StreetSuffix_T table.








THE PROBLEM:


I have never created a view that would require the primary key of one table to be associated with multiple fields of another table (i.e., SuffixID-->CurrSuffix, SuffixID-->PrevSuffix, SuffixID-->EmpSuffix). I want to create a view of the Applicant_T table that will show the suffix name from the StreetSuffix_T table for each of the suffix fields in the Applicant_T table. How is this done?

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DB Design :: Normalizing Personal Contact Information

May 22, 2015

I have a large data set with 10s of millions of rows of contact information.  The data is in CSV format and contains 48 columns of information (First name, MI, last name, 4 part address, 10+ demographic points, etc.) and I'm struggling with how I should design the database and normalize this data, or if I should normalize this data.

My 2 thoughts for design were either:

Break the columns into logical categorical tables (i.e. BasicContactInfo, Demographics, Financials, Interests, etc.) Keep the entire row in one table, and pull out the "Objects" into another table (i.e. ContactInformation, States, ZIPCodes, EmployementStatus, EthnicityCodes, etc.)

The data will be immutable for the most part, and when I get new data, I'll just create a new database and replace the old one.

The reason I like option 1 is because it makes importing easier, since I can just insert the appropriate columns from each row into the appropriate tables.  Option number 2 feels like it would be faster to get metrics on the data, like how many contacts live in which states, or what is the total number of unique occupations in the data set.  Plus I'll be able to make relationships between the tables, like which state is tied to which zipcode, which city is tied with which county, etc.  Importing that data might be more tricky, since I don't think SQL Bulk Copy will allow for inserting into normalized tables like that.

The primary use for this data is to allow our sales force to create custom lists of contact information based on a faceted search page.  The sales person would create the filter, and then I will provide them with the resulting data so they can start making business contacts.  Search performance needs to be good.  Insert, update, and deletes won't happen once the data has been imported.

What should I look for in designing this database?  Any good articles on designing tables around wide data sets like my contact information? 

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Please help

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Hi

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Feb 24, 2004

I am a beginner, so please bare with me. I get very confused on how to normalize my database.

Firstly: The employees in the company I work for are in various departments and can have more then one title and work in more then one department.

Example: John Smith can work in the engineering department as a detailer and an engineer and at the same time work as a project manager for the management department.

How do I setup this table structure?


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---------------------------------------------
jsmith | John | Smith | 280

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--------------------------
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Job Description
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-------------------------
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jsmith | Detailer
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10001 | jsmith | jdoe | mslick | sjunk | ...... | Las Vegas


Or should the project be broken down as well

Project Listing
Project | Location
10001 | Las Vegas

Project Team
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Any thoughts on how to normalize this?

Mike B

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Hi,

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a 1990 1993

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a 1992
a 1993

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Greetings all,

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Thanks

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Hi!


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"10", "1001", "sum"

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..and so forth



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This is not really a reply, but I saw the problem and the replies look very promissing.
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