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Going Beyond the Relational Model with Data

SQL is a powerful tool for querying data, and for aggregating it. However, you can't easily use it to draw inferences, to make predictions, or to tease out subtle correlations. To provide ever more sophisticated inferences to businesses, the race is on to combine the power of the relational model with advanced statistical packages. Both IBM and PostGres are ready with solutions. And SQL Server? Hmm...

2011-10-13

2,748 reads

External Article

Enabling Drillthrough in Analysis Services

Data analysis from a cube starts with aggregated and summarized data, followed by drill-down and drill-through of the data for a deeper and intelligent analysis. Drill down is inherently supported when you browse the data of the cube, but drill through has to be defined as per the requirements of analysis. In this tip we will see how to enable drill through on a cube.

2011-10-11

2,890 reads

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Question of the Day

Creating a JSON Document III

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 TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

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