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Convert

The ‘Convert’ task is used to convert text to tables and back. To convert a Text to a table the task expects a column header ‘Text’ that contains the to be converted text. To convert a Table to a text the task expects a column header ‘Word’ and ‘Non-Word’ to convert the table into text. This task is especially useful for automisation procedures on text based data. The transformation is done by splitting text into words and non-words. The resulting Word-by-Word table with a Word column and a Non-Word column is the ZIPPYDOC plattform standard to apply the rich set of...
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Header to Label

The ‘Header to Label’ task is used to add the header-information of list-tables to the content area of the table. This task is especially useful for full automisation procedures by using the tickboxes ‘All but selected’ and ‘One label column’. In this configuration every table gets converted in a two row table with standardized column name, so any further table automisation does not need to take care on the specific table shape. Go to Flow Gallery and Copy & Edit the Header to Label Flow for example usecases.
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Export to MS OneDrive

The ‘Export to MS OneDrive Directory’ task is used to export data from the ZIPPYDOC plattform to your Microsoft OneDrive directory. To use this task, you need to login to the ZIPPYDOC app with the MICROSOFT LOGIN button and your own mirosoft login account. If you use this task for the first time you will asked to re-login first. This is based on the concept, that ZIPPYDOC only requires the minimum access rights and only requires read rights for your Microsoft OneDrive if you want to use this task.
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Export to GitHub

The ‘Export to GitHub’ task is used to export your data from the ZIPPYDOC plattform to you own GitHub repository. Please lookup your personal access token to GitHub in your GitHub profile.  
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Export to DB

The ‘Export to DB’ task is used to export a table from the ZIPPYDOC plattform to you own database. For big data connections, a enterprise license is advisable with an own enterprise database core to speed up the data transfer.
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Import File from MS OneDrive

The ‘Import File from MS OneDrive’ task is used to import data from Microsoft OneDrive and save it on the ZIPPYDOC plattform. To use this task, you need to login to the ZIPPYDOC app with the MICROSOFT LOGIN button and your own mirosoft login account. If you use this task for the first time you will asked to re-login first. This is based on the concept, that ZIPPYDOC only requires the minimum access rights and only requires read rights for your Microsoft OneDrive if you want to use this task. Data saved on the ZIPPYDOC business automisation & integration plattform are encrypted...
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Import File from Github

The ‘Import File from Github’ task is used to import data from github and save it on the ZIPPYDOC plattform. The ZIPPYDOC plattform is also very convenient to use as a automised code or JSON wrangling engine. Data saved on the ZIPPYDOC business automisation & integration plattform are encrypted at rest. The data is even not accessible by ZIPPYDOC itself as operations is outsourced to the trusted, certified and independent operator QBeyond. After upload, you can apply the full feature set of the ZIPPYDOC plattform to your data. Those features are among others: apply a data transformer to modify the tables...
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Import MS OneDrive Directory

The ‘Import MS OneDrive Directory’ task is used to import data from Microsoft OneDrive and save it on the ZIPPYDOC plattform. To use this task, you need to login to the ZIPPYDOC app with the MICROSOFT LOGIN button and your own mirosoft login account. If you use this task for the first time you will asked to re-login first. This is based on the concept, that ZIPPYDOC only requires the minimum access rights and only requires read rights for your Microsoft OneDrive if you want to use this task. Data saved on the ZIPPYDOC business automisation & integration plattform are encrypted at...
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Import Github Directory

The ‘Import Github Directory’ task is used to import data from github and save it on the ZIPPYDOC plattform. The ZIPPYDOC plattform is also very convenient to use as a automised code or JSON wrangling engine. Data saved on the ZIPPYDOC business automisation & integration plattform are encrypted at rest. The data is even not accessible by ZIPPYDOC itself as operations is outsourced to the trusted, certified and independent operator QBeyond. After upload, you can apply the full feature set of the ZIPPYDOC plattform to your data. Those features are among others: apply a data transformer to modify the tables data ...
Read more +

Import from DB

The ‘Import from DB’ task is used to import a table from a database and save it on the ZIPPYDOC plattform. Data saved on the ZIPPYDOC business automisation & integration plattform are encrypted at rest. The data is even not accessible by ZIPPYDOC itself as operations is outsourced to the trusted, certified and independent operator QBeyond. After upload, you can apply the full feature set of the ZIPPYDOC plattform to your data. Those features are among others: apply a data transformer to modify the tables data automise routines on any table change or on schedule categorize tables by using tags use...
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