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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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SQL Puzzle 7

After a gap of sixteen months, Lionel Clarke, the creator of the only 3-D maze game to be written in TSQL, returns with a new SQL puzzle. It is very simple. You have to move as much of the data as you can from the source tables to the destination tables.

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Question of the Day

Creating a JSON Document II

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

TeamID TeamNameCity         YearEstablished
1      Cowboys  Dallas       1960
2      Eagles   Philadelphia 1933
3      Packers  Green Bay    1919
4      Chiefs   Kansas City  1960
If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName)
FROM dbo.NFLTeams;

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