Power BI service supporting many R packages as of now and it will increase in future. There is a misunderstanding that we can use these packages in Power BI Desktop R visual.
We can’t use all the packages in the Power BI site because it includes the packages which can be used for R custom visuals development.
Check the list of packages that Power BI Service supports, here.
Let us take an example,
There is a package called “timevis” which is part of Power BI supported packages.
We can use this package to build a visual to display a time range information. I used this package in R studio and got the below visual.
You can use the below R script and try it by yourself. This package requires many dependent packages which you can identify while installing the R scripts. If any dependent packages are missing then you should install those missing packages and finally run the R script.
id = 1:4,
content = c(“Apple”, “Orange”, “Mango”, “Banana”),
start = c(“2017-01-10”, “2017-01-11”, “2017-01-20”, “2017-02-14 15:00:00”),
end = c(“2017-02-13”, NA, “2017-02-04”, NA)
It is easy to identify which packages are supported in Power BI from the list. Prepare your R script from any of the packages and make sure to check the supported package list and run the script in R studio.
If your package producing a visual and make sure that visual is displayed under plot section of R studio. If you see the visuals in plot section then those packages can be used in Power BI.
In our example, the visual is displayed under viewer section which means it is using HTML viewer which is not yet supported by R visual in Power BI.
Azure Data Sync is the feature to synchronise the data between Azure SQL databases or Azure SQL Database to On-premises databases.
Microsoft Azure team released Azure Data Sync option in new portal.
Check the below road map of Azure Data Sync update from Microsoft.
While writing this post, we got data sync option available in the new portal.
Follow the below steps to check the new option in new portal.
Power BI is very famous for self-service BI which includes a variety of data sources. As it supports almost all famous data sources, sometimes we are getting a question that Power BI does have any data source for WordPress blog posts?
I could see most of them have this common questions. To answer this question, if I search Power BI desktop or online services, I couldn’t identify the dedicated WordPress data source.
But it is possible to connect WordPress with Power BI.
I take this opportunity to show how to connect your WordPress account with Power BI. We need to follow the below steps to visualise your post count, author, category and tag information in Power BI visualisation.
It requires a plugin which should be installed on your WordPress blog.
It captures all your blog information in JSON file format and through API we can access the JSON file from Power BI.
Once the above configuration is successfully completed then follow the below steps in Power BI Desktop.
We are going to use Web data source to connect WordPress.
Getting the URL of your blog with plugin extension is a bit tricky part but easy. The format of the URL should be like below.
Blog URL + /wp-json/wp/v2/ +Section
In my case, http://myblog.com/wp-json/wp/v2/ is the URL. Here section is nothing but tables which holds the specific information.
The most common tables,
The framed URL will give you only 10 records as a result. To get all the records from WordPress we need to follow the below strategy.
WordPress stored all the information in pages so we need to play with pages to get all the records.
Modify your URL as like below,
In the above URL, I added the page and per page property. We can increase the page count based on the number of posts that we need to access. For example, if you have 200 posts in your blog then you need to extract two times. 100 is the maximum number of posts so we can change only the page to extract all the posts.
Once the above URL is passed in Power BI Web source as like below then you can see 100 records.
You can see an option called “To Table” which converts your list of records into the table. We need to click the “<-||->” symbol to expand.
Again, use the web data source and pass the URL and do the same procedures to expand the columns in table format.
Once you extracted all the posts, you could see multiple queries created for each 100 records. The next important step, we need to append all the queries into a single query.
Use “Append Queries” and add all the queries.
Finally, you will get a single query with all the records on it. You can use this query for visualisations.
Repeat the same steps for all other tables’ users & category.
Once you added all the tables, need to prepare the relationship between the tables. Each table has a common id column with matching with Posts table.
Finally, you can start building the report with the extracted tables.
Microsoft SQL Server Reporting Services is the product which provides solutions to all the business enterprises. While it was in peak, Microsoft released another new BI tool which is nothing but Power BI.
Now Power BI is leading the Business Intelligence Industry. As it is a cloud-based service, business users were not able to use that tool for their business solutions because of security concerns. They were waiting for on-premises based Power BI server.
Now the wait is over. Microsoft released Power BI Report server which can be installed and configured for on-premises business solutions.
Power BI Report server is available for preview, you can download, install and experience the on-premises based Power BI Report.
As it is very new, it supports only analysis services as a source but in future, we can expect the same source connectors as like in Power BI cloud services.
This blog post explains to you that how you can experience the Power BI Report server using the Azure VM template.
Follow the below steps to spindle up Azure VM with Power BI Report Server on it.
Step 1: Login Azure portal and add a new Virtual machine
Step 2: Search for Power BI and it will show the below template
Step 3: Click create
Step 4: Add the VM name and credentials and choose which AS server you want to use from the drop down.
Step 5: By default, it using the below settings. In case, if you get an error message then change the name of the storage.
Step 6: At last, you need to click the purchase button. It will create and deploy the Power BI machine.Once the machine is deployed successfully, connect the machine and you can see the Power BI.
Once the machine is deployed successfully, connect the machine and you can see the Power BI Report Server.It also adds an option to create Power BI Report from the portal itself.
This post just to shows that how to configure the Azure Cloud Shell and its options.
Microsoft Azure recently announced this new feature, it helps us to run the Azure CLI commands directly on the portal itself.
It is required to configure the storage for one time.
Once the above configuration is completed successfully, you can see below the window.
In future, it is going to support power shell as well.
Check the Azure CLI commands in Microsoft documentation.
This post explains you very basic error that you get rarely and solution to that error,
Error: “Windows could not start the SQL Server on Local Computer. For more information, review the System Event log”.
The below error message will appear when your SQL Server evaluation period is expired.
Check the information in Event Viewer.
Buy the server and use the product key.
You can visit Maintenance in SQL Server installation and can upgrade.
It always mandatory to monitor the services that we engaged with. It helps us to understand the status of the services and some additional information.
This is very much suitable for cloud based services like Azure because those services are managed and maintained by Microsoft Azure team.
To monitor the services, you should have admin access. Let us take a scenario with office 365.
Follow the below steps to monitor the Power BI Services,
It is easy to enable the multi-factor authentication for a user. To enable, administrator permission is required. Once we enable the multi-factor authentication to the user then the user should pass through the authentication wherever that user wants to access.
For example, if you are Office 365 admin and you are enabling multi-factor authentication for a user. That user should go through the second authentication to login to email, power bi or whatever services that are connected with O365.
Follow the below steps to enable Multi-factor Authentication,