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SQL Server Data Aggregation for Data with Different Sampling Rates

In the emerging "Internet of Things", there are multitudes of devices collecting data at differing sampling rates. Integrating this data so the data has a common granularity in time is important to not only allow for accurate analysis and mining, but it will also aid in reducing the amount of data to be stored and processed.
In this tip, we will demonstrate how to use the T-SQL AVG function and GROUP BY clause to transform data collected from two devices sampling at 100Hz and 40Hz to one row per second.

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Creating a JSON Document IV

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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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