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SQL Server Best Practices for Data Quality

Accurate data is imperative for an organization to conduct cost effective decision making. Like everything else, change is constant for your data. There is a need to cleanse and validate data when received and on a regular basis. Unfortunately, cleansing and validating data is difficult with the native SQL Server toolset. How do we leverage the SQL Server tool set to achieve these goals?

2020-01-03

External Article

Do You Have REFERENCES?

The logic for referential integrity can be implemented in application code, but to make sure that it is enforced, include foreign key constraints in the database design instead. In this article, Joe Celko talks about the history of references in SQL and the options available today.

2019-12-27

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Creating a JSON Document IV

By Steve Jones - SSC Editor

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Permissions Removal When Changing Object Schema

By Brandie Tarvin

When the schema of an object is changed, SQL Server wipes out the previous...

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Question of the Day

Creating a JSON Document IV

I have this data in a table called dbo.NFLTeams

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned?
SELECT 
  YearEstablished,
  json_objectagg(city : TeamName)
FROM dbo.NFLTeams
GROUP BY  YearEstablished;

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