Search for	Example	Results
A single word	`cat`	Topics that contain the word "cat". You will also find its grammatical variations, such as "cats".
A phrase. You can specify that the search results contain a specific phrase.	`"cat food"` (quotation marks)	Topics that contain the literal phrase "cat food" and all its grammatical variations. Without the quotation marks, the query is equivalent to specifying an OR operator, which finds topics with one of the individual words instead of the phrase.

Search for	Operator	Example
Two or more words in the same topic	`AND` `and` `+` (plus symbol) `&` (ampersand)	`cat AND dog` `"cat food"+milk` `"cat food"&"dog food"`
Either word in a topic	`OR` `or` `\|` (pipe)	`cat OR dog` `cat \| dog`
Topics that do not contain a specific word or phrase	`NOT` `not` `!` (exclamation point)	`NOT cat` `! dog`
Topics that contain one string and do not contain another	`^` (caret)	`cat ^ mouse`
A combination of search types	`( )` parentheses	`cat + (dog \| mouse)` `cat \| dog + (! mouse)`

IT Business Analytics10.10

Develop > Develop Content > Extend Content > IDE > IDE Advanced Tasks > Customize the SSI Layer

Customize the SSI Layer

The Single Source Identity (SSI) processes restructure the diverse source system data from the EXT tables into standard structures. The SSI tables contain this conformed data. Since the Data Warehouse uses data from multiple source systems that do not use the same business keys for the same entities, the ETL process creates an internal enterprise key to link entity records. The ETL process uses data in the SSI tables to generate these enterprise keys, which are used during the consolidation process.

For details, see in PDF format.

Tip When customizing the SSI layer:

Do not modify the SSI table creation clause.
Do not remove the commit keyword from the end of the script.

Tip When customizing your ETL script, you can only modify the SSI layer script.

To customize the SSI layer, go to $HPBA_HOME/ContentPacks/<Product_Name>/ETL/<Product_Name>_<Entity_Name>_SSI_DF.sql.
Modify the script and save.

Example:

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