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PAW 1.0, for data processing, automation, and collaboration

Posted by: Rajat Gupta on April 13, 2009 DIGG
PAW (Processing and Analytics Workbench) the desktop product was developed keeping in mind the needs of power business users and technical people who work with lots of data on a daily basis, even so its ease of use makes it for anyone looking to work with data. PAW enables the end user to do more on their desktops and in a rich data context rather than in an abstract "code" view, similar to what you get with Excel, and with the added benefits of automation and named variables.

In this initial 1.0 release, users can do data massaging, data integration and consolidation on data from multiple sources. With PAW, as you act on your data to massage it, it captures the steps taken and allows you to re-run that defined process, helping to automate your business data processing with less errors.

Data Processing features:
- Import data from XML, Excel, CSV, text files, SQL databases, and web pages
- Filter, summarize, create formulas, match/merge, convert and split fields, and get distinct values
- Parameterize a process and run as a sub-processes
- Ant and Groovy scripting
- Exporting to Excel and CSV files
- Setup tasks to run multiple processes as a logical process


It also allows users to collaborate with others on data with being able to edit offline and synchronize online using the PAW Online Collaboration service.

Collaboration features:
- Setup tables of data and edit offline
- Publish online with data hosted on PAW Collaboration service
- Share dataset URLs with team and enable them to view/edit the data in PAW
- Setup filters to get a subset of the data
- Synchronize changes including up-to-date check and merging data

You can go to http://www.pawanalytics.com to see tutorials, videos, and more details on how PAW works. Download fully functional 30 day trial copy at http://www.pawanalytics.com/download.php and see how it can help you with your data processing and collaboration needs.
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