Is there easy way to import results of sql written in databricks notebook directly into powerbi ?
You can use the Partner Connect feature from Databricks. In a few clicks, it will help you to connect Delta tables with Power BI.
If that doesn't help then, export the data as CSV and use that as source for PowerBI
Related
I have a Google Cloud JSON key (eg. z-dexxent-3X5X02-2X5X287f780X.json) and I'd like to connect Power BI to some specific project/dataset/table in BigQuery using this JSON file.
Please, is there some step by step for this?
Thanks in advance!
I might be missing something, if your data is already in big query would use the built in Power BI Google bigquery connector
https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-connect-bigquery
and if it is not yet in bigquery follow these steps
https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-json
Is there any way to import .BAK file in Power BI?
I have backup of SQL Server data and want to import it in to Power BI.
If, in case, it is not possible, than how can I import the SQL Server data to Power BI without any connection.
Thanks in advance
This is likely not feasible.. To make use of of a .BAK file, you need to restore it to a SQL Server.
Generally, directly connecting to the server is the best option but if that's not possible in your situation, you can export your database to a format like CSV or XLSX that Power BI can easily read.
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.
Need to know whether Power BI supports parquet format as source from adls gen1.
Planning to use adls gen1 or databricks delta lake(supports parquet format only) as source to get data into power bi.Kindly suggest or please share any documentation link to get an idea related to it.
Power BI does support both Gen 1 and 2 DataLake, however both Power BI and Azure Analysis service does NOT support parquet file formats. You will have to convert them to a text format, like csv or other delimited format to load them from the Datalake
If you are using Databricks, and you have created a table structure based on delta tables, you can connect to those tables from Power BI using the data bricks connector. However you'll only be able to access the tables when the cluster is running.
Some outlines are on the MS Docs site > https://learn.microsoft.com/en-us/power-query/connectors/datalakestorage
You can use Azure Data Lake Storage connector in Power BI under Get Data.
For more details you can refer here
I am new to Power BI and Azure HDInsight. I am trying to import data in Power BI using the Spark connector, but I am getting the below error.
We couldn't import data from Spark on Azure HDInsight.
Make sure you are entering the information correctly.
The status code in the error message is 500.
Please provide any inputs.
Please let me know if you need more information.
Thanks,
Shreya Kaushik
The issue turned out to be that the Azure HDInsight cluster that we had created was of version 3.6 while the Power BI spark connector only supports version 3.5 currently.
Thanks all for your help!
Shreya Kaushik