I am aware that an Azure Table has a composite key that is made up of a RowKey and PartitionKey. I am also aware that you can pull and Azure Table into PowerBI. I am new to PowerBI, so I am not sure if I am using the right term, but what I would like to be able to do is break my Azure Table into multiple tables in PowerBI based on the PartitionKey. Is this something that is possible? If so, can someone point me in the right direction?
Thanks
Import all your Azure Table data as one PowerQuery table. Then right click on the table in the PowerQuery editor and select Reference. This will give you a new table that points to the Azure Table data, call it "Partition Key Link" or "Partition Key Bridge". Remove all the row data columns. Right click on the partition key column header and select "Remove Duplicates". You now have a table of distinct Partition Keys. The go to your PowerBI model view. Create a relationship between the link table and the data from your Azure Table. You can then link your other data to the link table in order to get to a model that will work well in PowerBI.
Related
I have a table in bigquery which fetches data from my firebase events analytics. The table is made in such a way that it appears to create a new table based on the date. But inside the databaseUI it appears as a single table. It changes when I click on it.
For example: Today's table name would be ‘tablename’_<today’s date> and when I use the filter option available in the big query UI for this particular table type. The name changes to ‘tablename'_'selecteddate'.
I want to create a materialized view on the complete/ combine table of all dates. Not just on a table with a particular date.
How can I do it? Can someone please guide me?
The columns I want in Materialized View is even_date, event_name, event_params( key and value) , count of event_params (of key and value both).
I am unable to find a way. So is it possible?
Thank you
I have a sql database linked where I have the complete history of products and users. I want to the user to be able to select on the slicer a year and the data automatically shows active prodcuts, expired products and new products added in that year (or snapshot).
Is there a way this can be done? I am not able to find a measure to best do this for me.
I recommend creating a date dimension table first - I usually call mine Calendar. Please read this useful post by Radacad which will show you how to create one > https://radacad.com/power-bi-date-or-calendar-table-best-method-dax-or-power-query
Once it's done create relationships between your fact tables and calendar table on key dates of when your products are active or expired - I'm making a huge assumption that's what your tables store.
Your calendar table will then act as a single time/date point of truth and should be used to slice and dice your fact table.
Hope this helps!
In SQL Server , we can create index like this. How do we create the index after the table already exists? What is the syntax of create clusted index in bigquery?
CREATE INDEX abcd ON `abcd.xxx.xxx`(columnname )
In big query, we can create table like below. But how to create partition and cluster on an existing table?
CREATE TABLE rep_sales.orders_tmp PARTITION BY DATE(created_at) CLUSTER BY created_at AS SELECT * FROM rep_sales.orders
As #Sergey Geron mentioned in the comments, BigQuery doesn’t support indexes. For more information, please refer to this doc.
An existing table cannot be partitioned but you can create a new partitioned table and then load the data into it from the unpartitioned table.
As for clustering of tables, BigQuery supports changing an existing non-clustered table to a clustered table and vice versa. You can also update the set of clustered columns of a clustered table. This method of updating the clustering column set is useful for tables that use continuous streaming inserts because those tables cannot be easily swapped by other methods.
You can change the clustering specification in the following ways:
Call the tables.update or tables.patch API method.
Call the bq command-line tool's bq update command with the --clustering_fields flag.
Note: When a table is converted from non-clustered to clustered or the clustered column set is changed, automatic re-clustering only works from that time onward. For example, a non-clustered 1 PB table that is converted to a clustered table using tables.update still has 1 PB of non-clustered data. Automatic re-clustering only applies to any new data committed to the table after the update.
I am new to PowerBi and I am trying to work on some tables (in this example I am working with data on the corona virus).
I built a new table and named it "table1". Now I want to reach out to this table but Power BI cannot find the related table. You can see in the screenshot, how PowerBi is not considering the table.
the two tables are connected by a 1_to_many relation (table1 has every country once; the current table has every country often).
Thanks in advance for your help!
Best regards
In power bi, I have a table Customer in which I am keeping the Id, name and other details of customer. I have another table named Customer_CustomerRole_Mapping which contains CustomerId and its CustomerRoleId. I have another table name CustomerRoles which contains name and id of each role.
CustomerRoles and Customer_CustomerRole_Mapping are linked together.
In Power Bi, I want to show customers count role wise in a pie chart? I tried but I am unable to apply linkage between these tables. I am new to Power Bi.
Your Tables:
Customer
Role
CustomerInRole
The Table "Customer" is not necessary for your Report because you only need to know the count of rows in "CustomerInRole" per row in "Role". So just add a pie chart, use the name of the role in the axis (or legend) and the (distinct) count of Field "CustomerIDs" in "CustomerInRole"
That is all you need ;-)
please find table relation is one-way or two-way . if it is complex and you are going for two way then it will not show.
To have things clear I would add the role to your customer's table. There's no use in keeping things in a relational way when you start playing with BI.
This can easily be done in the query editor. On the home tab, click "Edit Queries"
And there you'll have to click "Merge queries", also on the home tab completely on the right.
In the upper table you select the CustomerID-column and Customer_CustomerRole_Mapping table, select the right ID for that table. After clicking "Ok" you can expand the new columns (by right clicking the merged query-column). You will have to repeat this step to add the roles to the Customer table, but in this second round you will have to work with selectint the roleId's.
After all this you can delete the columns that you don't need anymore from this table and just keep the role.
In the pie chart you then just add the role and select "Count".
It is handy to solve it like this when you have other Fact-tables, and you want to use Role as a Dimension.
You can be linking of tables in power bi desktop go dashboard and click on the third menu as showing in image Relation Management data table image whatever you want make relation with table just drag and drop to link within multiple and single tables with parent and child tables and if you want to delete this relation just go on relation arrow(line) do right click on line and delete it and save file.
Cheers.