For the normal Power BI reports we can have the data storage mode as either import, direct query, dual, or hybrid (+incremental).
What is the concept of data storage modes for paginated reports?
Power BI reports are similar to DirectQuery. Every time a user runs the report, the DataSet queries are run against the DataSources.
The query will be re-run if you change parameters and re-run, but not if you go through the pages.
Related
I am working on SSAS Tabular project and I am using Live Connection when importing data to Power BI.
Do I need to schedule refresh in Power BI ?
Power BI does not import data over connections that operate in DirectQuery/LiveConnect mode. Instead, the dataset returns results from the underlying data source whenever a report or dashboard queries the dataset. Power BI transforms and forwards the queries to the data source.
Although DirectQuery mode and LiveConnect mode are similar in that Power BI forwards the queries to the source, it is important to note that Power BI does not have to transform queries in LiveConnect mode. The queries go directly to the Analysis Services instance hosting the database without consuming resources on shared capacity or a Premium capacity.
Because Power BI does not import the data, you don't need to run a data refresh. However, Power BI still performs tile refreshes and possibly report refreshes, as the next section on refresh types explains. A tile is a report visual pinned to a dashboard, and dashboard tile refreshes happen about every hour so that the tiles show recent results. You can change the schedule in the dataset settings, or force a dashboard update manually by using the Refresh now option.
In Power BI first we get source data. And then we add multiple query steps to filter data/remove column/etc. Then we add relations and model the data.
We can have calculated columns that are stored in the data. And measures that are not stored in the data but calculated on the fly.
Which data is stored in Power BI - the one after query or the one after modelling?
Power BI has 3 connection types for data access. They are import, direct query and live connections.
If we use import method as a connection type, data imported into Power bi file using Power BI desktop. So all the data always stays in disk. When query or refresh, data stays in computer memory.This data we can use to query and modeling. After work, we save the Power BI file it will save as file with .pbix extension. Data compressed and stored inside this file.
in direct query mode , data stays in remote location and we can connect data. each time we refresh or make change in slicer request goes to data source and bring back data to power bi. In this method, we can't access data but we can create data model.
live connection is another method. It only support for few data sources. In this method, data not stored in computer memory and can't create data model using Power BI desktop.
Power BI is very well documented. Many of the questions you've recently asked are answered in that resource, so please take a look. I get the feeling that you are using this community because you don't want to read the manual. I strongly suggest you take a look at the documentation, because everything we write in answer to your questions has already been written and documented, and SO is not meant to be a shadow user guide for well documented systems.
Depending on the data source you use in Power BI Desktop, Power BI supports query folding, which will do as much processing of the data at the source (for example SQL Server).
If query folding is not possible because the source does not support it, then the source data is loaded before the query steps are applied.
Read more about query folding here: https://learn.microsoft.com/en-us/power-bi/guidance/power-query-folding
When you perform additional modelling after the Power Queries are loaded, i.e. creating tables with DAX, adding columns, etc., these will be performed when the PBIX file is published to the Power BI service, and they will be performed each time the data is refreshed with the data gateway.
I am new to Power BI and trying to build a report for one of our business requirements. I have access to a Power BI dataset which I imported in the Power BI desktop version. I also need to import an excel file placed in SharePoint/OneDrive and merge the data in these two sources. When I am trying to do this, I am getting the below error.
Is this feature not available in Power BI?
If not, is there a way to achieve this objective?
You are connected to a Tabular SSAS cube or Power BI Service dataset, you can't add other data sources.
You can only mix data source types in the modes direct query and import. See the limitations section of the MS docs
One option would be to recreate the Tabular data model in Power BI, over the base table/views it is based on in direct query mode, then add the SharePoint list, or add it as a table in the Tabular/Power BI Service Dataset
Without a premium licensing, is it possible to simulate an incremental refresh to speed up Power BI Desktop?
Say, we keep all the data before a certain date in a local Access database and connect to the "live" database only for data after that date?
The question is how to export the historical data from one or several pbix file to Access, how can we do that?
Try doing it as a composite model. Load your archive data as one query using Import and your recent data as another query using Direct Query. Then you can union those to tables as a DAX calculated table and use that for your report.
If you aren't using Direct Query for recent data or you need to be refreshing your model, then I believe you can uncheck "Include in report refresh" in the query editor (right-click on the query in the Queries pane) and it won't refresh that archive table unless you specifically ask it to.
I am using Power BI and my dataset with SQL Azure.
I created a products view which has (ProductId, Name, Status) columns.
When I refresh dataset in Power BI does it only import modified rows or all rows from SQL Azure?
Based on the information found here (Understanding data refresh section):
When you refresh data, you are updating the data in the dataset that is stored in Power BI from your data source. This refresh is a full refresh and not incremental.
The refresh is a full refresh not incremental. Since you are using an Azure SQL DB, you may want to try switching to "Direct Query" if possible. This would eliminate the need for any data refresh, the queries will be executed directly against the data source.
Hope this helps.