Disclaimer
Sprngy Platform Azure Engineering Guide
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This document is intended for:
BAPCORE SPRINGYCORE Administrators
BAPCORE SPRINGYCORE Developers
BAPCORE SPRINGYCORE Architects
This document is a walkthrough to run, re-run and delete workload through Sprngy UIcreate and edit an Ingest Model through the Sprngy UI.
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
Big Analytixs Sprngy Libraries
Batch Management
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Manage Workloads
Manage Workloads includes running workloads and Managing workloads. It keeps track of all the workloads that ran for which layer as well as the result of it.
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Run Workload
Before running a workload, it is important to have appropriate data in the required data lake. By clicking on the run workload from the menu we get to the below page -
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The workloads would be run from and to the above respective layers
Manage Workload
It is a grid having all the batches which have run previously.
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