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Disclaimer

Sprngy Platform Azure Engineering Guide

Release 1.0.0.1

Copyright © Sprngy Corporation. All rights reserved.

This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing.

This document is intended for:

  • SPRNGYCORE Administrators

  • SPRNGYCORE Developers

  • SPRNGYCORE Architects

This document is a walkthrough of creating Modules and Entities through the AdminUI.

 Pre-requisites:

The list of tools required to run/develop in the UI are as follows:

  1. Visual Studio Code (Developers only)

  2. Python 3.8.10

  3. Flask 1.1.4

  4. Node 14.17.6

  5. npm 7.24.1

  6. R 3.6.3

  7. MySpringy Libraries

Follow the below steps to upload data to sprngy dataset.

Data Upload

The data upload page is used to upload the data in form of a .csv file to datalake.

Home Screen:

The image below is the Home screen of the UI.

From the side menu open ‘Data Upload' option.

Step 1 -

After clicking on the Data Upload menu option below screen will be displayed.

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 your dataset file, and click on 'Submit'.

Upon submission, your data will be uploaded to the sprngy datalake and ready for further processing.

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