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

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

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1 -{{container}}
2 2  {{container layoutStyle="columns"}}
3 3  (((
4 4  
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7 7  
8 8  Should you have any questions, please contact academy@emagiz.com.
9 9  
10 -* Last update: April 1th 2021
11 -* Required reading time: 5 minutes
12 -
13 13  == 1. Prerequisites ==
14 14  
15 15  * Basic knowledge of the eMagiz platform
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22 22  With data pipeline we mean: A integration pattern that can transfer large volumes of data between a specific set of source and sink systems
23 23  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
24 24  
21 +== 3. Data pipeline - Job Dashboard ==
25 25  
26 -
27 -== 3. Data pipeline * Job Dashboard ==
28 -
29 29  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.
30 30  
31 31  [[image:Main.Images.Microlearning.WebHome@intermediate-datapipelines-job-dashboard-for-data-pipeline--jobs-button-runtime-dashboard.png]]
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74 74  * Use the Job dashboard in conjunction with the Manage phase to monitor and set up alerting surrounding the performance of the data pipeline solutions
75 75  * You can import your data pipeline solution from the store
76 76  
77 -
78 -
79 79  == 6. Suggested Additional Readings ==
80 80  
81 81  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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83 83  == 7. Silent demonstration video ==
84 84  
85 85  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.
86 -
87 87  )))
88 88  
89 89  ((({{toc/}}))){{/container}}
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