I am developing SSAS Tabular project for Power BI, as part of requirement I need to automate the below process
1. Every week I have to delete last two weeks of data in SSAS Table
2. Update last two weeks of data.
Thanks in advance
Please advice
For this, you have to create an SSIS Package to delete the last two weeks of data and then process the cube.
Your SSIS Package to delete the last 2 weeks of data.
Schedule to process your SSAS cube.
SSAS Tabular, Power Pivot, Power BI don't provide facilities to allow a partial refresh, sliding window or any other type of refresh other than full data refresh (Power BI premium does but assuming you're not using that).
You need to control the data getting into the data model by controlling the data in the source tables underlying the model.
This is commonly done using SSIS, TSQL and/or stored procedures.
Related
So, what I am trying to do for a project is create data visualizations in Power BI from Microsoft SharePoint. I used Microsoft Power Automate to create flow which has worked successfully. However, it won't let me load or transform the data that I need to succeed for the project. Also, in the Power Bi workbook it usually shows 3 icons. 1 for Reports, 1 for Table relationships and one for data. the one foe data is missing. But I can see columns and do basic visualizations. But I need to clean the data. How can I transform the data that is real live data?
There is a use case in my company to enable business users with no technical knowledge to use the data from Azure cloud. Back in the SQL server days this was easily solved through OLAP cubes. You could write a query for data that's backing up the cube, and then business people could just connect to the cube and data was downloaded as a pivot table, the only problem with large datasets there was compute (the larger the data, the slower the pivot table) but not really the row limit.
With the current Azure Synapse set up it seems that Excel is trying to download the entire data set and obviously always hits a 1M row limit. Is there anyway to directly use the data in the pivot table without bringing it in full to Excel? Because all my tables are >1M rows.
UPD: You can load data directly to Pivot, but it does load the data to RAM and the actual loading takes time. I am looking for a similar to cube solution, where the pivot table is available immediately and the querying happens once you're adding fields and calculations to the pivot table.
I've created a report that uses SSAS to create a Pivot table. I have to authenticate with username/password when I refresh it. Once it's refreshed I want to send it to someone else.
However when they open it they can't drill down in the Pivot table because it asks them to authenticate as well.
I can't remove the connection from the file because then you don't have the data for the Pivot so it doesn't let you drill down either.
Is there a way to work around that, to make the Pivot table available for use (to drill down, no need to change the fields) to the other person?
If you want to provide a self-contained Excel file with the detail data to support an interactive PivotTable then please look at Power Pivot. In newer versions of Excel it is called the Excel Data Model. You load the model with detail data, define your calculations and relationships between tables. The data is compressed and stored in the Excel file so except during refresh from your relational source (which you could do before sending the Excel file) the user doesn’t need any access to servers.
You will have to rebuild the data model in Power Pivot. If your SSAS model is a Tabular model then the concepts should be pretty similar.
I am using Power Pivot to do some analysis and then make Pivot tables from the data model. There are more then 1 interconnected tables. The tables have been created using Power Query. The relationships are created using Power Pivot.
After my work is done and the Excel File is closed, the data model gets deleted. I can see that as the file size gets reduced. Also when I open the file and try to modify the pivot tables receive the following message: " the connection for this pivot table has been Deleted". The queries that were created using power query do not refresh either (Shows: Download Failed).
When I open the Power Pivot for Excel window, it does not show any tables in it.
I am using Microsoft Professional Plus 2016. Already Repaired MS Office.
Would really appreciate if any one can help.
Thank you.
Looks like this problem is caused because of Power Pivot Crashes. Found this blog https://exceleratorbi.com.au/does-the-power-pivot-excel-add-in-crash-for-you/, followed the steps and that seems to solve my problem for now. Its interesting that this problem is there since long and Microsoft has not been able to solve it yet.
Moderator please move to appropriate forum if required.
I use MS Excel 2016 for data visualization.
Can understand Extract means saving Excel data onto a spreadsheet and Transforming data means manipulating it in Power Query.
QUESTION:
But if I decide to load data to Power Pivot (Data Model) doesn't that fall back into Transform because you can
Create Calendar Table
Create Measures (or Calculate Columns if necessary)
Or does using Power Pivot (Data Model) fall under Data Modelling because you are no longer formatting, merging pre-existing data;
Rather you are creating new data (i.e. Calendar Table, Measures, etc) to merge with pre-existing data
Kindly clarify
Power Query (now standard excel 2016 in data tab): is an ETL (Extract - Transform - Load) tool. A standard example would be that you would connect it to your source ERP system, and make a product table. That wouldn't be an exact copy of the table, but could consist out of several tables, that are joined. You keep only the relevant columns.
Power Pivot: this is a data modelling tool, it allows you to create relations between data and attribute tables. It gives you the possibility to use time related measures (YTD, Previous Year, ...).
In general when you build your model in power pivot, you can choose to either load the data directly into power pivot (without power query). This is useful if you already have a datawarehouse in which the ETL process is done.
If you have an ETL process to execute, it's better to use power query, and load the data into power pivot. (option: load to data model).