Disclaimer

Big Analytixs Sprngy Platform Azure Engineering Guide

Release 1.0.0.1

Copyright © Big AnalytixsSprngy. 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.

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This document is a walkthrough to run, re-run and delete workload through Big Analytixs Sprngy UI

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. Big Analytixs Libraries

Batch Management

Batch management 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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