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Disclaimer
Sprngy Platform Documentation Guide
Release 2.0.0
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.
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This document is a walkthrough to create and edit an Ingest Model through the Sprngy UI.
Pre
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Requisites
Analytic model is defined.
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Run Analytic Workloads page lets the user apply analytics on the processed data. For successfully running an analytic workload, analytical model along with the data on the source location specified in the analytical model is required.
Home Screen
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The image below is the Home screen of the UI. From the side menu open 'Workload Management' option, then select 'Run Analytic Workloads’ option.
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Step 1
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After clicking on the Run Analytic Workload menu option below screen will be displayed.
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On this page, select the module and entity for which you want to run an analytic workload. Select the layer on which the processing is to be applied, that is from RDBMS to RDL(raw data lake)/BDL(business data lake) or from RDL to BDL. You can also select if it is an end of day run or and intra day run.In default configuration of Sprngy, Raw Data Lake (RDL) is same as Staging Data Lake (SDL). For advanced enterprise implementations, a Raw Data Lake can be configured to be separate from Staging Data Lake. This is handled through professional services request to Sprngy’s support team.
On the right there is a Model status block, that gives information if the meta, ingest and analytical models are saved to the system.
Here, you can either click 'Submit' to run the workload or create a scheduled workload, by clicking on the scheduled workload toggle, to run at a certain interval.
Scheduled Workloads
For scheduling workloads there are two types - Daily and Custom.
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After selecting the required option click on submit button to initiate the workload processing or schedule creation in scheduled workload case.
Copyright ©
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Springy Corporation. All rights reserved. Not to be reproduced or distributed without express written consent.