Aggregate Transform

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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.

2014-12-24

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The Disabled Index

I run this code on SQL Server 2022.

CREATE TABLE Drink
(
    drinkid INT NOT NULL
        CONSTRAINT DrinkPK PRIMARY KEY CLUSTERED,
    drinkname VARCHAR(20),
    rating NUMERIC(2, 1)
)
GO

INSERT INTO Drink
(
    drinkid,
    drinkname,
    rating
)
VALUES
(1, 'Margarita', 4.5),
(2, 'Mojito', 4.3),
(3, 'Old Fashioned', 4.7),
(4, 'Martini', 4.4),
(5, 'Cosmopolitan', 4.2)
GO
ALTER INDEX drinkpk ON dbo.drink DISABLE
GO
SELECT * FROM dbo.Drink
GO

What is the result?

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Aggregate Transform

SQL Server Data Aggregation for Data with Different Sampling Rates

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The Disabled Index

Question of the Day

The Disabled Index