I need to create a bubble chart with real time data. Bubble should move according to the changes in the data. I tried using API streaming data set. But Real time data support only few chart types as per the image below. Is there any workaround to achieve my requirement?
No at the moment only those visuals are supported for real time as they are dash board objects, however coming soon is refresh in Power BI Desktop, that will allow you to set a refresh on a report. Microsoft demo'ed it to show the report reading telemetry from a game. This may meet your requirement, for a 'realtime' data or at least low level latency
Related
Should we use the group by function in Power Query and create a new table, or is it better to create as many measures as we need ? (one measure for each column) ?
Which one is more powerful?
Thank you !
It depends on your purpose. If you have a granular fact table that you want to aggregate first before creating the data model, you can do that through Power Query before feeding the model. Even then, I would recommend doing it on the server-side if you are bringing a SQL table; so that you can perform a native SQL group by rather than having to do it through Power Query syntax solely. Power Query has some performance lagging and each nth step in PQ is evaluated from 1st step internally and it requires a full refresh of the table.
However, if you only want to perform group by to be utilized in an analysis, it is always a good idea to use DAX measures and refrain from using PQ. Also, you can't resort to PQ for different analysis scenarios. DAX is built for those scenarios and it is extremely powerful. DAX measures are the most powerful concept of Power BI. Also, they get evaluated in filter context/slicers; i.e. respond to the selection of values in slicers and / or whatever is present in the Axis (business case)
There are tons of supports for DAX measure optimization, such as SQLBI, Stack, Power BI community. If optimized correctly, DAX measures enhance report performance tremendously without creating any lagging in the report at all.
Few resources to look into
1
2
3
When you are creating a new table in power query, it means results are pre calculated and there will be some performance gain if we consider report usage. But, it will increase your Data Model size. Where as Measure will calculate things on the fly. This will keep your model size same but add some slowness in the presentation part. As a whole, there is no specific answer for your question as per my knowledge as it depends on so many other things like-
Your data size
How many measure you wants to create
How complex your logic inside measure's
How often you need reload your data
and so on...
I have a PowerBI that pulls from an excel spreadsheet a current inventory of statuses of a system, lets make it easy and say I have a single measure that reads "40% complete".
If I refresh the PowerBI dataset and it now says "60%", is there any way to have a KPI automatically show +20%? Every example I've found requires you to have another dataset that keeps the historical data, and that's not really an option in this situation. Is there any way to calculate it or store it within the PowerBI query itself?
Power BI is not designed to store historical data. This is what a database is for.
In order to calculate that 20% difference, you need to store historical data somewhere but Power BI's purpose is to connect to sources and load data and then visualize it, not to act as a data repository.
I have a powerbi report for finance. Users need to see the latest data in real-time, so I have to choose DirectQuery. But in this mode, some functions, such as DateAdd and DatesMtd, cannot be used
(This DAX function is not supported for use in DirectQuery mode.),
So I need to write a very complex SQL statement to achieve the equivalent effect, but this makes the report very slow (more than 10 seconds) every time it runs, and the largest table in my data model is less than 80000 rows. I've tried to optimize the SQL statements, but it doesn't help. Any solution?
(I use powerbi report server with sqlserver enterprise version)
Of course, with no information, I can't know what's taking so much time, but in order to understand what's happening you can use the following tools:
PowerBI Performance Analyzer: This will tell you what part is taking the most time. for more info see MSDocs & SQLBI
Check the datamodel and the storage mode of each table involved (ie: fact table, calendar, customer, etc). When querying the source, PBI won't use filters (directly in the query) that come from tables in import mode. (search for "composite models" on the web)
Limit the number of objects, for each object in the dashboard a query will be sent to the datasource, limiting the number of objects might help. (remember that objects wait for each other, so one slow loading object might cause your problem)
(even if you probably already did it) Have a look at the query execution plan, you can also check it for queries automatically created by PowerBI by capturing them (the easiest way is to use SQL Server Profiler)
I think that just by using PowerBI Performance Analyzer you will be able to see where the problem is, and then do more accurate search about it.
You need to search for those keywords;
Native query in power query: Some M language functions can directly be translated to SQL, so that all transformation happens in sql server side.
Aggregated tables in model view: aggregated views can be added for specific needs of visuals. Ex: if a visual has product category and amount as value you can connect aggregated sql table to the original one so that visual can pick up the value faster.
Hybrid tables: import mode and DQ mode can be used together. so you can use DQ for daily data and import mode for older data together.
How to identify the dataset of a report is based on. We have been using a powerbi work space since long time. There are multiple data sets and reports were added over the time. We lost track on what reports are using which data sets, and like to clean up if there are any used datasets.
Thanks
Jyothi
"View Related" Option on right side top corner will provide the data set information.
OK, so I have a relatively complex report that works well on the desktop app but is bombing out on the web portal. Apparently, it is requesting 1048584KB which is just shy of the 1048576KB limit.
This report is a matrix, built as follows:
It is connected to two primary data sources, along with some tertiary feeds and helper tables. One of these is a sales detail table that is a CSV 887MB in size. The other is a purchasing detail table that is an XLS 26MB in size.
I have filtered out portions of the sales table (by date) in the Edit Queries screen. I have also filtered out specific item divisions in the matrix. It is the second step that was allowing this visual to function previously (took out a few not-needed divisions and it started working again, but now this no longer seems to work).
I would like to not just get a quick answer here, but also to better understand how Power BI is allocating the memory and how I can streamline. The rest of the report is using the same data but this is the only visual that fails to load (aside from some tables that are on a line-level and are intended to be filtered down via slicers prior to displaying information). Will add that there are some relatively complex measures that are firing on this visual and not used anywhere else, presuming this has a lot to do with memory demands...right?