SQLServerCentral Article

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

Restoring On Top II

I have a database, DNRTest, that has a number of tables and other objects in it. The other day, I was trying to mock up a test and ran this code on the same server:

-- run yesterday
CREATE DATABASE DNRTest2
GO
USE DNRTest2
GO
CREATE TABLE NewTable (id INT)
GO
Today, I realize that I need a copy of DNRTest for another mockup, and I run this:
-- run today
USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO
RESTORE DATABASE DNRTest2 FROM DISK = 'dnrtest.bak' WITH REPLACE
What happens?

See possible answers