Integrating Data, Tools and Science

author: Michael Berthold, Department of Computer and Information Science, University of Konstanz
published: Nov. 16, 2010,   recorded: September 2010,   views: 5303


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


For years it has been a well-known fact that data analysis projects spend only a small fraction of time on actual analysis. Much more time is spent gathering, integrating and preparing the data for analysis. Still, many data analysis tools focus on the analytical parts only. In this talk we will present the core technology behind KNIME, an open source integration and analysis platform. In addition to offering comprehensive built-in ETL, analysis and visualization methods, KNIME's open API facilitates the integration of other tools. The underlying modular architecture enables a coherent and transparent fusion of the diverse data sources spread out over the corporate IT environment, while at the same time integrating existing legacy tools and other data processing and analysis methods. We will show real-world examples of KNIME being successfully deployed as an integration and analysis backbone and how it can be used to quickly deploy new science, e.g. new methods for the analysis and exploration of data at the same time. We will also take the time to provide a brief overview of how the graphical, modular representation of a data workflow enables complex data processing and analysis procedures to be documented, archived and communicated.

See Also:

Download slides icon Download slides: ecmlpkdd2010_berthold_idts_01.pdf (2.0┬áMB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: