Last modified by Erik Bakker on 2024/02/21 21:52

From version 29.1
edited by Erik Bakker
on 2022/08/28 15:07
Change comment: There is no comment for this version
To version 26.1
edited by eMagiz
on 2022/06/09 12:38
Change comment: There is no comment for this version

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1 +XWiki.eMagiz
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1 1  {{container layoutStyle="columns"}}
2 2  (((
3 3  
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6 6  
7 7  Should you have any questions, please contact academy@emagiz.com.
8 8  
10 +* Last update: April 1th 2021
11 +* Required reading time: 5 minutes
12 +
9 9  == 1. Prerequisites ==
10 10  
11 11  * Basic knowledge of the eMagiz platform
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18 18  With data pipeline we mean: A integration pattern that can transfer large volumes of data between a specific set of source and sink systems
19 19  With Job Dashboard we mean: A overview within the context of eMagiz that shows management data (i.e. how many lines were processed, did the process run successfully) to the user
20 20  
21 -== 3. Data pipeline - Job Dashboard ==
22 22  
26 +
27 +== 3. Data pipeline * Job Dashboard ==
28 +
23 23  The Job Dashboard is an eMagiz dashboard that can be accessed via the Runtime Dashboard. On this level, you can select a specific flow and for that flow, you can retrieve the management data of your data pipeline by clicking on the button called Jobs.
24 24  
25 25  [[image:Main.Images.Microlearning.WebHome@intermediate-datapipelines-job-dashboard-for-data-pipeline--jobs-button-runtime-dashboard.png]]
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68 68  * Use the Job dashboard in conjunction with the Manage phase to monitor and set up alerting surrounding the performance of the data pipeline solutions
69 69  * You can import your data pipeline solution from the store
70 70  
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78 +
71 71  == 6. Suggested Additional Readings ==
72 72  
73 73  If you are interested in this topic and want more information on it please read the help text provided by eMagiz.
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75 75  == 7. Silent demonstration video ==
76 76  
77 77  There is no demonstration video for this microlearning. We believe that when you follow the steps detailed above the solution will work for your specific use case.
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78 78  )))
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80 80  ((({{toc/}}))){{/container}}
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