Possible refresh frequency in Google Data Studio:
15 Minutes
1 Hour
4 Hours
12 Hours
Custom, however at least once every 12 hours
Can I disable refresh on my Datasources or make them less often?
The thing is that during the updating of data extra money is spent, and I would like this does not happen.
So, the possible solution is to create 'extracted data' from an existing data source.
Follow these steps:
Go to your Google Data Studio dashboard
Add new data source, you need 'Extract Data' in the connectors list
Select an existing data source to extract from
Select the dimensions and metrics to extract by dragging them from the Available Fields list onto the targets, or by clicking Add. All the fields you add appear in the list on the far right.
Click 'SAVE AND EXTRACT'
Here's the link
https://support.google.com/datastudio/answer/9019969?hl=en
Related
I am working on the reporting project that uses PowerBI as the data visualization tool.
I need create a processing approval workflow on the PowerBI tool. After seeing the Dashboard, the employer can approve some exception cases and the workflow can direct connect with email or ticket system.
There are 2 cases:
Approve for the whole dashboard that supports to be easy. I don't have any problem here.
Approve for singular object/row in a table chart. So I must generate number of buttons according to the number of row, which I need help. I don't know how to generate dynamic number of buttons and attached to row. And how to program/code it to create a view or action to become an approval step.
Button PowerBI
In this screenshot, my plan is create buttons in each row and each button has the same function with parameter is username or IP. And after that I can send email to the user and notice him/her that his/her case is approve for exception.
I find this https://community.powerbi.com/t5/Community-Blog/A-simple-and-fun-guide-to-Microsoft-Flow-and-Power-BI/ba-p/151530. But it doesn't seem helpful. Anyone here has ever dealt with approval case like this.
Is PowerBI able to do the approval process like I want?
Thank you so much.
First: This kind of goes against the spirit of BI in general. BI is for data visualization, exploration, etc. It's not really a UI for inserting data and executing tasks. Maybe you want instead to have a front end that lets you do things, and only needs to handle a very limited dataset? PowerApps is good for that. If the dataset is less than 1000 rows, this could work.
Second: I'm pretty sure it's not possible to create a button (like one that you'd see in an HTML page) that does what you want it to do in a Power BI table visual.
Third: There is a "drill through" button capability, but this just lets you navigate from one area in the report to another, not send an email or execute a Power Automate flow or anything like that. You may have seen a button on a table visual, but it's misleading. It's not really programmable like an HTML/JS button on a website.
https://www.c-sharpcorner.com/article/create-a-drill-through-button-in-power-bi/
That said, within the last 1.5 years or so, we now have the PowerApps add-in available. You could create an app that utilizes your streaming dataset, create a gallery that looks at that dataset and creates a kind of table with buttons on it, and then each button is set to execute the flow you've created in Power Automate.
PowerApp Add in chiclet
All of this is very, extremely straightforward, but beware, the PowerApp will start to cost you extra money depending on where your data is housed. If it's a SQL server, you'll need both a premium PowerApp license and Power Automate license too.
Sorry for the not so great news, but this is kind of a limitation of Power BI.
I have Power BI report which is connected to the dynamic 365 to show the report of contact and account but the data set has more then 2 GB of data and I am not able to publish the report.
how can I decrease the size of the data set so that when publish I can refresh and update data set to get the 2 GB of data.
I am not able to publish the report
one thing which I used to take the top 100 rows by using one of the option in the Data Set but when I refresh the data set after publish it get top 100 record
A .pbix file has no size limit, but PowerBI service has a limit of 1GB (for a pro subscription) per dataset, higher-level subscriptions (embedded/premium) have higher limits.
Unless you can upgrade your subscription (which may not be worth it for one report), you have to decrease the report size.
The suggestions are always the same and can be found on MS website, I had a look at it and I have nothing to add.
Below the points that you will find on the MS website, in case the link stops working:
Remove unnecessary columns
Remove unnecessary rows
Group by and summarize > pre-aggregate/aggregate data, with the detail you need
Optimize column data types > chose the right data type for each column
Preference for custom columns > create custom columns in PowerQuery (M), they have a better compression rate compared to DAX calculated column
Disable Power Query query load > do not load tables you don't need (support table used for calculations but not needed in the model)
Disable auto date/time > disables the calendar hierarchy created by PBI for each date in your model
Switch to Mixed mode > This mode is a mix of import and direct-query, you will find more info online about this. (if you choose this have a look at the aggregations functionality)
I have an excel sheet stored in a OneDrive Business Folder, which is updated continuously (approximately every minute). I am trying to show a live count of the number of entries in the table, as below, on a powerBI report:
From here I have tried two options:
1.Created a PowerBI Desktop File which shows the total count on a single card. I have then published this to PowerBI Service as a report.
2.Imported the excel file in via "Get Data->Files->OneDrive-Business" on PBI Service:
I loaded in the data and then created a report as below:
However, when a change is made to the excel file on the onedrive, the report data does not update automatically when any change is made. Instead, the only way that it updates is via the "refresh now" option in datasets on PBI service:
Then once that is refreshed, I have to manually refresh the data in the report window also.
The connection between the report and the excel file is therefore available to allow the manual update, but for some reason does not automatically update when I make a change. Are there are solutions available to get this to update automatically.
I saw this cool idea, but I can't seem to get it to work:
https://bigintsolutions.com/2019/03/29/refresh-power-bi-report-every-min-and-show-on-a-tv/
I have also read many threads, with some people having the same issue I am having:
https://community.powerbi.com/t5/Power-Query/Automatic-Refresh-not-working-when-connecting-to-SharePoint/td-p/546308
I know that there should be an update every hour for PowerBI-OneDrive connections, but I was hoping there was a way for updating live.
Goal: PowerBI Service Report to update automatically, for live data feed to a TV screen, when a change is made, say every minute.
Any help would be greatly appreciated!
Where are you sourcing your data? Updating each minute to an Excel file seems like something that won’t scale in the long term. This sounds like a better scenario for a real-time dataset that is in hybrid mode. Then you could build a dashboard over the data and it would automatically update as the data updates. I’ve used Power Automate to push data into a real-time dataset as well.
Treb Gatte, Power BI MVP
For context, we would like to visualize our data in google data studio - this dataset receives more entries each week. I have tried hosting our data sets in google drive, but it seems that they're too large and this slows down google data studio (the file is only 50 mb, am I doing something wrong?).
I have loaded our data into google cloud storage --> google bigquery, and connected my google data studio to my bigquery table. This has allowed me to use the google data studio dashboard much quicker!
I'm not sure what is the best way to update our data weekly in google cloud/bigquery. I have found a slow way to do this by uploading the new weekly data to google cloud, then appending the data to my table manually in bigquery, but I'm wondering if there's a better way to do this (or at least a more automated way)?
I'm open to any suggestions, and if you think that bigquery/google cloud storage is not the answer for me, please let me know!
If I understand your question correctly, you want to automate the query that populate your table, which is connected to Data Studio.
If this is the case, then you can use Scheduled Query from BigQuery. Scheduled query allow you to define a query which results can be inserted in a new table. Particularly you can specify different rules for repetition (minimum each 15 minutes) and execution, as well as destination writing options (destination table, writing mode: append, truncate).
In order to use Scheduled Queries your account must have the right permissions. You can have a look at the following documentation to better understand how to use Scheduled Query [1].
Also, please note that at the front end the updated data in the BigQuery table will be seen updated in Datastudio at each refresh (click on refresh button in Datastudio). To automatically refresh the front-end visualization you can use the following plugin [2] or automate the click on the refresh button through Browser console commands.
[1] https://cloud.google.com/bigquery/docs/scheduling-queries
[2] https://chrome.google.com/webstore/detail/data-studio-auto-refresh/inkgahcdacjcejipadnndepfllmbgoag?hl=en
I am working on a realtime dashboard, i'd like to use the powerbi Rest Api.
My question how does the updating of rows work. I have 1300 records to load once and then update 2 columns for each row every 20 seconds.
The only rest call I see is to addrows, but it's not clear how it handles update of rows if it does
You have two patterns you can choose from:
You can send data in batches: upload 1300 rows, then call DELETE on the rows, then call upload with the next payload of rows.
Here's the DELETE method you need to all. We're adopting REST standards for our APIs so the 'methods' are the REST verbs :). https://msdn.microsoft.com/en-us/library/mt238041.aspx
Alternately you can incrementally update the data: You'd add a 'timestamp' column to your data set. Then in your query (like in Q&A) you'd ask for "show data for the last 20 seconds". If you do this, set the FIFO retention policy when you create the data set so you don't run out of space.
In either case, double check the number of rows you're pushing fit within the limits we spell out. https://msdn.microsoft.com/en-US/library/dn950053.aspx
HTH,
-Lukasz
i was searching something in powerbi docs that could help me in creating a report with rest APIs. couldn't find it exact though. however made a work-around.
firsly, I created a push dataset schema in powerbi with help of post push dataset rest api.
https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset-in-group
then I pushed rows/record/data into my dataset with this post rows in push dataset.
https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows-in-group
then I went to powerbi service, and created a visual report manually there.
after this I embedded that report in my react app.
finally my report was live.
now if wanted to update my report in real time, I called delete push dataset rows api to delete the existing rows/records from my dataset.
https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-delete-rows-in-group
and then called the post push dataset rows api again with new updated data. (repeated step 2)
and then finally I refreshed my website page, and now I see the updated visual report in my website.
it took me too much time. so I can feel if you are struggling w/ powerbi rest api. it's not straightforward. so feel free to ask anything down below. will happy to help.