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How does this affect you?

In version 1.0.29 (October 2020), you can choose to split the CardioLog Analytics SaaS dataset in Power BI to several datasets (by quarters) in order to reduce the dataset size and improve performance (optional).

Out of the box Power BI reports are will be updated automatically. Custom reports and/or out of the box report copies should be updated manually.

If you use one or more of the removed columns/measures in your have custom reports and/or in out of the box report copies, follow the instructions below to update your reports.

If you use one or more of the updated columns/measures in your custom reports and/or in out of the box report copies, no action is needed.

How to prepare for this change?

Custom reports and/or out of the box report copies : will be broken after the update:To fix a broken visual, edit the report by clicking the Edit button, select the broken visual which currently uses the removed column/measure and replace it with the new/updated column/measure.
Prerequisites

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no longer function after you split your CardioLog Analytics SaaS dataset to several datasets (by quarters).

To update your reports, install Power BI Desktop on your workstation

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and contact Intlock Support to allow temporary access from your workstation's public IP address to the CardioLog Analytics SaaS Azure SQL database.

 

In version 1.0.29, you can choose to split the CardioLog Analytics SaaS dataset to several datasets (by quarters) in order to reduce the dataset size and improve performance. In order to link  In order to connect your custom reports to the new datasets (by quarters), follow the instructions below:

  1. Open the your custom report in Power BI web service and download the report .pbix file by clicking File > Download the .pbix file.



    Note: In case the .pbix file fails to download due to the dataset size, contact Intlock Support.

  2. Open the .pbix file in Power BI Desktop and click Sign in.

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  3. Enter your Power BI Pro account which is the owner of the CardioLog Analytics SaaS workspace and click Sign in.

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  4. Open Power Query by clicking on Transform data > Transform data.



  5. On the

    left

    left Queries

    pane

     pane, select

    the 1 – SharePoint Usage table and open the Advanced Editor popup window by clicking on Advanced editor.
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  6. Edit the query and add _Q1 at the end of V_PBI_FactEventLogAndSocialActivity_V1023_Q1. Click Done.

  7. Repeat steps 3 and 4 for the following tables:
    5 - SharePoint Usage | Visits - add _Q1 at the end of V_SSAS_Visits_Q1
    5 - API | Custom Events - add _Q1 at the end of V_ExtendedApiMetadata_Q1

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    Save your changes by clicking on all items by clicking the top Parametars folder, holding the Shift key in the keyboard, scrolling down the list and clicking on the last table item under the Other Queries folder. Right click and select Delete.

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  8. Accept deleting all queries and groups by clicking on Delete.

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  9. Save your changes by clicking on Close & Apply > Close & Apply.
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    Edit the dataset source by clicking on Transform data > Data source settings.
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    Click on Change Source… enter the Server and Database names and click OK > Done. Contact Intlock Support to receive your database details.
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    On the top ribbon click on Refresh, enter the User name and Password in the SQL Server Database popup window and click Connect. The Note: After saving your changes all report visuals will appear broken. They will be loaded properly after completing the next steps 8 - 11.

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  10. On the right Fields pane, delete all tables by clicking on the ... button to the right of each table name to expand the More options menu and select Delete.

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  11. Confirm deleting each table by clicking on Delete.

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  12. Link the report to the new Q1 dataset by clicking on Power BI datasets.

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    Note: If you get the following error message after clicking on Power BI datasets, repeat steps 5 - 9 and make sure you have deleted all queries and fields.

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  13. Select the new CardioLog Analytics SaaS dataset for Q1 in the Select a dataset to create a report popup window and click Create. The data refresh process will start immediately . Contact Intlock Support to receive your database credentials. 

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    When the data refresh process is complete, save the and may take a few minutes. 

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  14. Click File > Save as and save the file as CustomReportName_Q1.pbix.

  15. Create 3 additional files from “Name_Q1.pbix” and named them “Name_Q2.pbix”, “Name_Q3.pbix”, “Name_Q4.pbix”.

 

Version 1.0.29 - October 2020

Power BI Dataset Model

Table

Field Name

Field Type

Status

Notes

FactEvents

EventLogId

Column

Removed

Internal, not in use

FactEvents

RelatedId

Column

Removed

Internal, not in use

FactEvents

RequestId

Column

Removed

Internal, not in use

FactEvents

Timestamp (Visitor Time)

Column

Removed

Use the ClientDate and ClientTime columns

FactEvents

URL Last Part

Column

Removed

Internal, not in use

FactEvents

VisitsMeasureUpdated

 

Visits

Average Number of External Links Clicks Per Visit

Measure

Updated

 

Visits

Average Number of Searches Per Visit

Measure

Added

 

VisitsSessionStartDay_keyColumnAddedFor internal use only

Visits Group

Bucket GroupColumnAddedFor internal use only
Visits GroupBucket NameColumnAddedFor internal use only
  1. Publish the custom report for Q1 to Power BI web service by clicking on Publish. Enter your CardioLog Analytics SaaS workspace in the Publish to Power BI popup window and click Select. Once the publish process is done your custom report will be available in the Power BI web service.
  2. Connect your custom report to the remaining datasets for Q2Q3Q4 by clicking on Transform data > Data source settings and repeating steps 11, 12, 13 for each quarter.

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  3. Repeat steps 1 - 14 for each custom report.
  4. In order to confirm that all of the steps above were performed correctly, you can see which reports are connected to each dataset in Power BI web service by expanding your CardioLog Analytics SaaS workspace > Datasets > click on the ... button to the right of each dataset and select View lineage.

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