Compiled demo scripts
Djuggler scripts can be compiled as small stand-alone Windows executables for rapid deployment. The compiled scrips below are demonstration examples that can be downloaded and run directly without installation. The demo's show a diversity of solutions that can be created with the Djuggler data integration software.
Web spider / crawler demo
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This demo shows how a spider, scraper or web crawler like GoogleBot follows the hyperlinks in a web site.
The script also demonstrates the Djuggler deployment dialogs that allows a script to interact with a user.
After running the script a report will be presented with all hyperlinks found until a specified level.
Download the web crawler demo
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ETL demo
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This demo illustrates how Djuggler can transform an unstructured text file to a structured XML file.
The first step shows the unstructured records in a plain text file. The records are separated by empty lines. Next the script will transform the records into an XML structure. Finally the XML is dynamically loaded into a local HTML page.
After running the demo the source text file can be altered and the demo can be run again with the modified text file as new source.
Download the Djuggler ETL demo
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Database cleaning demo
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This demo illustrates how Djuggler can clean databases based on automatic rules and user prompts when the rules don't apply.
In the zip file there is an Excel file with customer information and a text file with official country names. The demo uses a fuzzy match to update the country names to the official names and asks the user to select a country when there is no clear match. It will also learn from the user input for the next records.
The demo will finish with a report of the changes. The source of this demo can also be found in the repository forum.
Download the Djuggler clean database demo
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Fuzzy logic and match demo
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Data integration solutions can get complicated when two data sources contain more or less the same data and need to be combined, transformed or compared.
Type errors by users in free text fields for country or name fields in web forms are typical examples that can lead to match problems when merging this data to relational databases.
Fuzzy matching can solve these problems by looking for the best match on given dataset. This demo will illustrate the fuzzy capabilities of Djuggler.
The source input for the demo can be modified for testing purposes.
Download the Djuggler fuzzy match demo
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Compiled demo scripts
Djuggler scripts can be compiled as small stand-alone Windows executables for rapid deployment. The compiled scrips below are demonstration examples that can be downloaded and run directly without installation. The demo's show a diversity of solutions that can be created with the Djuggler data integration software.
Web spider / crawler demo
|
This demo shows how a spider, scraper or web crawler like GoogleBot follows the hyperlinks in a web site.
The script also demonstrates the Djuggler deployment dialogs that allows a script to interact with a user.
After running the script a report will be presented with all hyperlinks found until a specified level.
Download the web crawler demo
|
|
ETL demo
|
This demo illustrates how Djuggler can transform an unstructured text file to a structured XML file.
The first step shows the unstructured records in a plain text file. The records are separated by empty lines. Next the script will transform the records into an XML structure. Finally the XML is dynamically loaded into a local HTML page.
After running the demo the source text file can be altered and the demo can be run again with the modified text file as new source.
Download the Djuggler ETL demo
|
|
Database cleaning demo
|
This demo illustrates how Djuggler can clean databases based on automatic rules and user prompts when the rules don't apply.
In the zip file there is an Excel file with customer information and a text file with official country names. The demo uses a fuzzy match to update the country names to the official names and asks the user to select a country when there is no clear match. It will also learn from the user input for the next records.
The demo will finish with a report of the changes. The source of this demo can also be found in the repository forum.
Download the Djuggler clean database demo
|
|
Fuzzy logic and match demo
|
Data integration solutions can get complicated when two data sources contain more or less the same data and need to be combined, transformed or compared.
Type errors by users in free text fields for country or name fields in web forms are typical examples that can lead to match problems when merging this data to relational databases.
Fuzzy matching can solve these problems by looking for the best match on given dataset. This demo will illustrate the fuzzy capabilities of Djuggler.
The source input for the demo can be modified for testing purposes.
Download the Djuggler fuzzy match demo
|
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