I have a dash made with Power BI, but I'm using Linux now and can't use it. I'd like to start using Data Studio, but I need to use the dashes I've already created with Power BI.
You can use your PowerBI dash from Linux, you just need to publish the dash to the PowerBI service after which you access it through a modern browser (e.g. Chrome). See the docs here.
In terms of getting your data out of PowerBI Desktop (thick client), there is no automated way. The best you can to is to create a PowerBI dash with a table visual and then include all relevant columns and rows to export in the table. Use the PowerBI export data feature to dump out to Excel. The same technique works in PowerBI service (the web version after you hace published). See the docs here.
If you want to try get to your PowerBI service (published data) from an API, that is not possible in any general format. The only option comes with the Premium version of PowerBI where you can connect to an XMLA endpoint to access the data. Typically organisations do their data wrangling in a tool before passing the data on to PowerBI To avoid the lack of open connectivity (to the processed data in PowerBI).
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I am trying to send output of my response from Azure logic app withhttptriggerto Power bi data source and generate visuals whenever there is a positive or negative response from my logic app design flow.
What data source can I select in Power bi desktop version?
Is there API which can be used for same purpose? If yes, please provide the API details as well.
I tried to do it in online version but I need to do it for desktop version of Power bi
whenever there is a positive or negative response from my logic app design flow.
You can use a condition connector placed before to perform this requirement
What data source can I select in Power bi desktop version?
There is no direct connector that may help you to generate reports but there is a vast area from where you can send the data to particular storage and generate the reports from there. For Example, you can save your data to Azure blob storage through logic apps and then get the data from Azure blob storage to generate reports from power bi. Below are all the ways where we can get the data to generate reports.
The present power bi Connector in the logic app may help you to Use Power BI REST API to add rows to a dataset, Use Power BI Rest API to initiate export for Power BI reports, and other few actions. But there is always an option to do our own custom connector for power bi from logic apps through Custom connectors.
For more information regarding this, you can refer Create a Custom Connector for Logic Apps using the Azure portal - Microsoft Tech Community
Here is a tutorial where data is sent to the Azure SQL Database and the reports will be generated from Azure SQL Database.
We are using Sisense for our reporting tool.
We have too many clients using Sisense.
This clients have a lot many dashboard , widget.
Sisense store data in mongo db.
I don't have an idea about Microsoft power BI.
Is there any possibility to build migrate tool for Sisense to Microsoft Power BI ?
Thank you.
For Sisense, it stores its meta-data for it in a mongo db instance. However for Power BI it stores it's meta data in the PBIX file. If you change the file extension from pbix to zip, you can navigate in inspect the contents.
When the report is deployed to the Power BI Service, it uses a number of components to store the file and meta data, blob storage and a small SQL instance in the background. You cannot access these items or the data in them.
For on premise versions of Power BI, Power BI Report Server (available in Premium only, or some enterprise licensing), this requires a SQL Server database to be used. This acts as a meta data store for the Power BI Front end and, also stores the files etc for the reports loaded to it. You can access this data meta store. More details on the setup here.
I don't think there is a path to migrate data from the mongo db to the sql, or the service, or the files, it will be a full recreate of the objects from one reporting technology to the other.
Actually, PowerBI uses XML and SiSense uses JAQL; parse the JAQL to create a translator to build rudimentary PowerBI reports. Since SiSense uses Elasticubes, Dashboards and Widgets, you have to parse them all to build out PowerBI. I successfully did this for SSRS and powerBI has a more complex layout but nonetheless, can be done...
Built it in .Net using Newtonsoft to extracts the JAQL (JSON) and then parse to translate to PowerBI..
not that hard
As far as I know, deploying a Power BI report from Power BI Desktop results in two items, the report itself and the dataset. When deploying a new report using the same dataset, will deploy the new report and a second copy of the same dataset in Power BI Service. That is not what I wanted. To not confuse end users and other, I want only an unique dataset deployed.
I want to make use of Azure Devops deploying to Power BI Service in a Dev, Test and Prod way. The dataset will be an azure analysis services data model, but the principle should be the same. I need to reduce the dataset to be exactly one and all reports must relate to that data model. I have heard of a Rest API or powershell scripting that can come to a rescue here.
So if any of you have done this or know of a good article that describes how to do this, I would be grateful.
Regards Geir
The best option is to separate the Power BI report in the frontend and the backend. You create a file purely for the dataset if you are importing, no reports created on it. You can then create the reports, using the service connection to the dataset, or with Power BI desktop, in the connection to Power BI Dataset option. Both will use 'Live Connection' mode, so you cannot add any other data sources to the model, for example bring in a CSV file or SQL database.
If you are connecting to an Azure Analysis Service data model, you can use this approach, however as it is only a connection only, not a full fat dataset, it should not be an issue to have copies of the dataset, as it is just the connection. Having copies of the dataset is only an issue if you are importing data, then it is best to move things to data flows, and use the same front/back end method, and the planning around the scheduling of the dataflows then datasets
You can use the REST API to move reports and the datasets that they connect to, and move items to new workspaces. If you have Power BI Premium that has a life cycle tool to move items between dev/test/live workspaces
If you create a report in desktop and choose 'Power BI Dataset' as live connection to work over it - when you upload the report to the same workspace, it will only upload the report and connect to the same dataset
https://radacad.com/power-bi-shared-datasets-what-is-it-how-does-it-work-and-why-should-you-care#:~:text=A%20shared%20dataset%20is%20a%20dataset%20that%20shared%20between%20multiple,tenant%20in%20Power%20BI%20environment.
So, I created dataset that can be used to generate multiple reports and dashboards.
I would like to publish to the web portal and allow report designers to create their own reports and dashboards. Which works great until I need to update the model. If I update the model and push the data set via Publish function it deletes the reports.
So is the only option for everyone to use PowerBI Desktop? What is the web-based report designer for? Is this only for datasets that will never change?
If your Power BI file has reports in it, it will over write them. What I think is happening is that your users are updating the report in your dataset, for example adding a new tab, so when you load changes it overwrites them.
You need to decouple the Dataset from the reports. You can load your dataset with out any reports. You can then build reports using two methods.
1) Connect to the dataset using Power BI Desktop, using the connect to Power BI Dataset connection. That links to the dataset in a Live Connection, so you can build your reports from that. You can then publish your report. Any changes to the dataset will not overwrite it.
2) For the Web builder you can do the same, create a new report in the portal and select a dataset from that workspace to build your report. What the user needs to do then is 'Save as' and give that report as a new name.
Both methods just link to your dataset, not build a report directly in the file
So, currently I'm having difficulty understanding how Power BI Embedded can be setup so that each customer can access data from their own separate Azure Analysis Service, this is an App Owns Data situation. Analysis Services will be running in In-Memory mode and it will be accessed from Power BI via Live Connect.
Ideally I would like the Power BI Report to be ignorant of the data set/data source until the embedded report is provided with a parameter (e.g. connection string) which the report interprets so that it knows which server to connect to. So, ideally have: one Workspace, one Report, and zero (or a fake) Dataset.
The following is roughly what I'm looking to do (note the Red and Blue flow access a different server):
It looks like if I created both a Report and Dataset per customer I can achieve my goal but this seems like a poor approach since if the Report needs to be updated this involves updating, potentially, hundreds of reports. Also creating hundreds of Reports seems like unnecessary overhead when all Power BI needs to change for each request is the connection string pointing to the data source.
So is it possible to share the Workspace and Report across all customers but having completely separate data sources? Or is my approach in conflict with the way Power BI expects to function?
To date, I've tried using Query Parameters when configuring the data source in Power BI Desktop but I get the following error:
The connect live option for this file is disabled because it already contains data from another data source. You cannot explore live data and connect to another type of data source in the same file.
Please note,
Every report in Power BI can be connected to only one Dataset.
There is NO ability to dynamically change a connection string on the fly.
Currently, and in the foreseeable future, you'd have to clone the report & dataset per customer (or per connection setup) and modify the new dataset's connection string to match.
You can then dynamically choose which report to display based on your customer's needs.
Cloning a report can be done using:
POST https://api.powerbi.com/v1.0/myorg/reports/{report_id}/Clone
POST https://api.powerbi.com/v1.0/myorg/groups/{group_id}/reports/{report_id}/Clone
https://msdn.microsoft.com/en-us/library/mt784674.aspx
Changing the connection string would be done using:
POST https://api.powerbi.com/v1.0/myorg/datasets/{dataset_id}/Default.SetAllConnections
(similar API for groups)
https://msdn.microsoft.com/en-us/library/mt748181.aspx
using the C#.NET library provided by Power BI team, you'd use
Reports.CloneReport(string reportKey, CloneReportRequest requestParameters)
Datasets.SetAllDatasetConnections(string datasetKey, ConnectionDetails parameters)