SLOWLY CHANGING DIMENSION IN SSIS
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- เผยแพร่เมื่อ 9 ก.ย. 2024
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Slowly Changing Dimension transformation coordinates the updating and inserting of records in data warehouse dimension tables.
To synchronize the OLTP value records into OLAP dimensional Table.
Slowly Changing Dimension Wizard only supports connections to SQL Server.
SCD can identify the
• New records in the input
• Update the records in the input before loading the data into target table.
To work with SCD
• Business column must be selected
• Attributes behavior must be selected for the target table.
• Source and target tables to be specified.
There are three types of attributes behavior
1. Fixed attribute
The attribute never be changed.
2. Changing attribute
Updated records value will replace the old record attributes values without preserving history.
3. Historical Attribute
Updated records attributes values will be loaded as separate rows by preserving old record attribute values as history.
SCD in SSIS
SCD Type 1 in SSIS
SCD Type 2 in SSIS
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THANKS FOR YOUR TIME AND CLEAR EXPLANATION SIR GREAT JOB
thanks for your feedback .. appreciate your time..
simply superb.. Made the points very clear
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Great video!
Thanks man
You are my favorite! Thank you
Glad to hear .. thanks ..
Quick question!
Can I get for Fact table? If so please provide the link below.
Nice explanation..
Thanks...
thanks for your feedback ..
primary key column is not showing in the destination column to choose it as business key . Any solution pls
Nice
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Very Nice Explanation!
Instablaster...
Hi, I have one question for you, would that be possible to maintain historical data for the PK table?
That would be a Type 2 Change. The example shared above contains a Type 1 example where Historical Information is replaced rather than kept within the history. At the end of the video there is a Type 2 Change Example where you can see record Line Number 6 contains the old record and Line 7 contains the new along with the date stamp. Type 2 changes are easily identified because they will have start and end date columns as well as sometimes a flag if the developer has added one. Look for Timestamps within the output data and it'll help you identify which is which.
If u get an any error or warning u explain like why v are getting that
Than v can understand..
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Nice
Nice
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