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Disclaimer
Sprngy Platform Documentation Guide
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This document is a walkthrough of uploading raw data through the AdminUI.
Pre-requisites:
The list of tools required to run/develop in the UI are as follows:
Visual Studio Code (Developers only)
Python 3.8.10
Flask 1.1.4
Node 14.17.6
npm 7.24.1
R 3.6.3
Sprngy Libraries
Follow the below steps to upload data to sprngy dataset.
Pre Requisites:
Application is created in Admin UI using the Application Configuration screens and entities and relationships are defined.
Data Upload
The data upload page is used to upload the data in form of a CSV file to datalake. csv file to datalakeIt is important to note that first row of the csv file should have the column names.
Home Screen:
The image below is On the Home screen of the UI.From admin UI, click ‘Data Upload' on the side navigation menu open ‘Data Upload' option.
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Step 1
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After clicking on the Data Upload menu option below screen will be displayed.
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Here, select the module name and entity name for which you want to upload the dataset, then in the file upload option browser or drag and drop option, upload your dataset data file , and click on 'Submit'.‘Submit’
Upon submission, your data will be uploaded to the sprngy datalake and ready for further processing.
Copyright ©
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Springy Corporation. All rights reserved. Not to be reproduced or distributed without express written consent.