As part of WebSphere Commerce Feature Pack 8, there are couple of enhancements to Dataload Utilities,
Reference Link: http://goo.gl/3TmRpH
If your routinely loaded files contain many previous loaded records, then running this file difference can result in shorter load times. This preprocess can be scaled to compare files with millions of records.
By default, there are two data reader preprocessors that are provided for running a file difference; one for comparing CSV files (CSVFileDiffPreprocessor) and one for XML files (XmlFileDiffPreprocessor).
Reference Link: http://goo.gl/dB6Hng
Reference Link: http://goo.gl/RpzsnL
Reference Link: http://goo.gl/6oCPvN
For example, you can define a customer segment that contains all registered customers, or all customers that spent over $1000 at the store, or all male customers over the age of 40. You can then use these customer segments as targets for advertising, promotions, and suggestive selling.
After you create a customer segment, you can specify that customer segment as a target when you create:
Web and dialog activities
Email activities
Promotions
Introduced in Search rules
You can create a customer segment that business users can manage in the Marketing tool by loading a list of email addresses.
Reference Link: http://goo.gl/PlVJq3
Use this update mode for loading changes to catalog entry information. This update mode compares catalog entry data in an input file with the corresponding catalog entry data in the database. The utility then replaces or adds data for only the columns that are specified in the input file. All other columns remain unchanged.
Reference Link: http://goo.gl/saSoaY
Reference Link: http://goo.gl/dvlhMo
Reference Link: http://goo.gl/Tl0UTO
Reference Link: http://goo.gl/ZA2DoQ
Dataload Utility Enhancements for WebSphere Commerce Feature Pack 8 Reference Link: http://goo.gl/R3byCc
- Configuring a Data Load utility scheduler job
Reference Link: http://goo.gl/3TmRpH
- Data Load file difference preprocessing
If your routinely loaded files contain many previous loaded records, then running this file difference can result in shorter load times. This preprocess can be scaled to compare files with millions of records.
By default, there are two data reader preprocessors that are provided for running a file difference; one for comparing CSV files (CSVFileDiffPreprocessor) and one for XML files (XmlFileDiffPreprocessor).
Reference Link: http://goo.gl/dB6Hng
- Loading promotions with the Data Load utility
Reference Link: http://goo.gl/RpzsnL
- Loading promotion folders and promotions into promotion folders
Reference Link: http://goo.gl/6oCPvN
- Loading customer segment members by email address with the Data Load utility
For example, you can define a customer segment that contains all registered customers, or all customers that spent over $1000 at the store, or all male customers over the age of 40. You can then use these customer segments as targets for advertising, promotions, and suggestive selling.
After you create a customer segment, you can specify that customer segment as a target when you create:
Web and dialog activities
Email activities
Promotions
Introduced in Search rules
You can create a customer segment that business users can manage in the Marketing tool by loading a list of email addresses.
Reference Link: http://goo.gl/PlVJq3
- Update mode for Catentry Dataload
Use this update mode for loading changes to catalog entry information. This update mode compares catalog entry data in an input file with the corresponding catalog entry data in the database. The utility then replaces or adds data for only the columns that are specified in the input file. All other columns remain unchanged.
Reference Link: http://goo.gl/saSoaY
- Category Deletion
Reference Link: http://goo.gl/dvlhMo
- Reuse attribute assigned values with the Data Load utility
Reference Link: http://goo.gl/Tl0UTO
- Loading marketing objects with the Data Load utility
Reference Link: http://goo.gl/ZA2DoQ
Dataload Utility Enhancements for WebSphere Commerce Feature Pack 8 Reference Link: http://goo.gl/R3byCc
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