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Parallel Processing of Large Volume ETL Jobs

ETL processing, generally involves copying/moving, transforming, cleaning the records/transactions from one or multiple sources. Most of the batch processing or warehousing projects involve such data processing in millions on daily/weekly basis. Typically, there is a Staging area and production area. Records are cleaned, transformed, filtered and verified from staging to production area. This demands SQL Set theory based queries, parallel processing with multiple processors/CPU. The article focuses on need of SQL Set theory approach and parallel processing while processing large volume of ETL records using programming approach.

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Question of the Day

Creating a JSON Document I

I want to create a JSON document that contains data from this table:

TeamID  TeamName  City          YearEstablished
1       Cowboys   Dallas        1960
2       Eagles  Philadelphia  1933
If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

See possible answers