I am using Snowflake as my backend database and created & published a dataset in Power BI with direct query. As a next step I am trying to analyze the data (to get Pivot experience) in excel.
I am observing the performance from excel is not good compare to Power BI desktop or PBI Service. For example one query is getting completed in ~4 sec in Snowflake, PBI desktop and PBI service both are returning within in like ~10 sec; but the same thing when I am trying it is taking over a minute or so.
Is there any setting in excel level we can apply to handle this?
Please let me know if there is any other solution to handle this.
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I am working on a case where, we have a large volume of data. All the data is located in different Excel files which are having more than 500000 rows in each file. The files will gets added monthly.
I have created Power BI Report and each Month when the new file gets loaded, it takes a lot of time to refresh.
To make it simpler, we are trying to use SSIS where the data will be imported from the Excel files in to a DB and then the DB will be used as Base Data to the Power BI File.
In this case, we are downloading the data locally from cloud (SharePoint Online) and then again Uploading it to Cloud (to Power BI Premium Workspace.).
Guys, I am not sure whether this is the right approach and efficient way to optimize the Refresh Time. Can any please suggest if is there any better solution available. Perhaps we may have a solution which will consolidate all the data on the cloud only and so no need to download and transfer it it using SSIS.
Regards,
i am using a Web server service where i am able to get real-time data using RestAPI calls. Now i want to be able to collect the data - store them somehow and then visualise them in a nice way (produce graphs basically). My approach would be to store them in a database and then use the PowerBI's internal feature "Get Data" from an "SQL Server Database". No idea if this the correct approach. Can anyone advise here ?
Hello and welcome to Stack Overflow!
I agree with Andrey's comment above. But if you want to know about all the Data sources that PowerBI supports connecting to, please check the following resources:
Data sources in Power BI Desktop
Power BI Data Source Prerequisites
Connect to a web page from Power BI Desktop
Real-time streaming in Power BI
Additionally, you may also go through Microsoft Power BI Guided Learning to understand the next steps for visualization.
Hope this helps!
There's another approach that is to build a custom data connector for that API to Power BI.
That allows you to fetch the data inside Power BI, and build the visuals. You can store it in excel files or sql (you can use python scripts for this) and you can schedule refreshes on the service.
We have a cube that contains 1.6 years of data and it is taking a long time to load. Previously we got a memory issue error, but we have increased the SAP Memory size. Can anyone explain me any ways to troubleshoot, or any best practices that we can follow?
We are currently pulling 30-35 combinations of Dimensions and Characteristics and still its taking a lot of time, and we don’t have that amount of time in order to get the error and then act on it.
It is the internal MDX limitation that you have to live with. In order to mitigate this, you will have to use filters or variables to restrict the return volume. If you don't mind moving data out of SAP onto Azure storage first, then you will gain much better user experience by pointing Power BI to Azure DW, Azure SQL database, or even Blob. Otherwise, you will have to be stuck with SAP bottleneck.
Because Power BI and ADF share the same underlying engine to access SAP BW, for your reference, you can check our blog out for comparison and further explanation in context of ADF and BW integration:
I am trying to open up Power Bi from a website and also carry over the Hive data tables that will be used. Currently i am looking into using Spark but keep hitting dead ends. I have tried doing Power Bi online but i am limited to using 1 Gb of memory. The desktop app would be ideal if possible. I need some hints or suggestions on where to go from here.
Right now I have created power bi dashboard (using power bi desktop) which retrieves data from excel file. Later on I will replicate the same data model to Azure analysis services tabular model.
Is it possible to switch my power bi dashboard's data source to azure analysis service seamlessly?. What I mean is that I don't have to do major rework on my dashboard (re-create the visualization again, etc). How do I do that?
Thank you
According to me the hard fact is that it may not be seamless. There may be possibility of minimizing some extra work though but you need to answer few questions yourself and then decide:-
Do you plan to use SSAS Tabular in Power BI using live connection or import mode? (I assume you are probably having this cube as on-premise)
Is the data layout in the excel (understand it like flattened data) going to be same as in SSAS Tabular?
One option worth considering would be to have the SSAS Tabular cube readily loaded using the data from the excel and you start off the development of Power BI. That way source changes in Power BI will not be an issue going forward.
Hope this helps?