Blogs
- kasper's source
The blog reaches many topics, primarily concerning DataCleaner and the other eobjects.org projects.
You can also get your blog on this list, contact the webmaster for more info.
Reference documentation
On this page you can find resources for learning how to use DataCleaner. Below is a list of released reference documentation documents.
| DataCleaner 3.5 | HTML | HTML (single page) | |
| DataCleaner 3.1.2 | HTML | HTML (single page) | |
| DataCleaner 3.1.1 | HTML | HTML (single page) | |
| DataCleaner 3.1 | HTML | HTML (single page) | |
| DataCleaner 3.0.3 | HTML | HTML (single page) | |
| DataCleaner 3.0.2 | HTML | HTML (single page) | |
| DataCleaner 3.0 | HTML | HTML (single page) | |
| DataCleaner 2.5.2 | HTML | HTML (single page) | |
| DataCleaner 2.5.1 | HTML | HTML (single page) | |
| DataCleaner 2.5 | HTML | HTML (single page) | |
| DataCleaner 2.4 | HTML | HTML (single page) | |
| DataCleaner 2.3 | HTML | HTML (single page) | |
| DataCleaner 2.2 | HTML | HTML (single page) | |
| DataCleaner 1.5.x | HTML | HTML (single page) | |
| DataCleaner 1.4 | HTML (wiki) |
Webcast demonstrations
Webcasts are small videos demonstrating some of the features of DataCleaner. Use them as appetizers or tutorials for learning how to use the application.
Customer Data Quality
Learn how DataCleaner and the EasyDQ.com components can be used to ensure your Customer Data Quality operations.
This video will explain the concepts of using Name cleansing, Address cleansing, Email cleansing, Phone cleansing and Duplicate detection, in order to enrich, integrate and facilitate a high level of reliable customer information.
International data
Demonstrating the use of DataCleaner 2.3's new international data features, such as the Character Set distribution analyzer and the Transliterator transformer.
Regex parsing
A short demonstration of how to use the Regex Parser extension to easily extract parts of your strings..
Understanding and using Synonyms
An example of the new type of reference data in DataCleaner 2.0: Synonym catalogs. You can use them to replace messy or ambigious values with standardized ones.
Introduction to analyzing, cleansing and filtering data
A quick introduction to some of the features of DataCleaner. We're looking at a list of email contacts, make a quick profile of the name columns and do some basic cleansing of poorly formatted names.
Developing DataCleaner extensions
In this webcast for Java developers you will learn about the principles for extension development and how to develop a simple extension to DataCleaner.
Screenshots
Click the thumbnails below to view screenshots of DataCleaner in action.
DataCleaner 3.5
DataCleaner 3.1
DataCleaner 3.0
DataCleaner 2.5
DataCleaner 2.4
DataCleaner 2.3
DataCleaner 2.1
DataCleaner 2.0
