ID Number: G00171231



Who's Who in Open-Source Data Quality
19 October 2009
 
Andreas Bitterer   Ted Friedman  

A decade after open-source business intelligence started and a few years after initial open-source data integration projects kicked off, the next open-source data management space is being targeted: open-source data quality tools. But capabilities are still far behind established commercial vendors.




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Pages: 8






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Table of Contents


    
 Analysis

1.0
    
 Market Definition
2.0
    
 The State of Open-Source Data Quality

2.1
    
 Talend
2.2
    
 DataCleaner
2.3
    
 SQL Power
2.4
    
 Infosolve
2.5
    
 Other Projects
3.0
    
 Bottom Line

    
 Recommended Reading


List of Tables


Table 1.  
 Data Quality Functional Requirements
 

List of Figures


Figure 1. 
 Example Data Profiling Result (DataCleaner)
 

Figure 2. 
 Example for Translation Words
 



Browse Topics:
 
Data Quality
Open-Source Applications




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Resource Id: 1209334