Category: Power BI Desktop

Business Intelligence - BI, Power BI, Power BI Desktop

Four Different Ways to Find Your Power BI Desktop Local Port Number

Power BI Desktop Local Port

Update December 2023:

From the October 2023 release of Power BI Desktop onwards, there is a 5’th method to find the port number within the Power BI Desktop itself. This method is explained here.

About two years ago I wrote a blog post on how to connect to a Power BI Desktop model from different tools like SSMS, Excel, and SQL Server Profiler. A big chunk of that blog post was about different ways of finding Power BI Desktop local port. Having the port number is crucial if you want to connect to a Power BI Desktop model from any sort of tool for different purposes like monitoring in SQL Server Profiler or analysing the model in Excel. I’ve been asked several times here and there about different reasons people need to find the Power BI Desktop local port number, so I decided to dedicate a post to the Power BI Desktop local port number.

When you run Power BI Desktop, it runs a local instance of SSAS Tabular model in the background and it assigns a random port number to that local instance. Therefore, if you want to connect to the model to analyse it in Excel you need to know that port number. There are several ways to achieve the port number and this post will cover most of them.

As you may know, Power BI Desktop is now available as a Windows App that can be installed from Windows Store. In general, the main difference between the App and the downloaded edition from the Microsoft website is that you will get a notification whenever a newer version is available to download. Then you have to manually download and install the newer version on your machine, but, the App will be updated automatically. However, some other differences are out of the scope of this article. There is just one difference that is relevant to this article which is that Power BI Desktop creates its temporary folders in a different location than the Power BI Desktop App does.

The methods described in this post work for both the downloaded edition and the Store edition.

Different Methods to Find Power BI Desktop Local Port

· Using DAX Studio

· Tabular Editor

· Power BI Desktop Temporary Location

· Command Line (CMD)

The reason that I explain different methods is that not all methods are doable in all environments. You may work at a customer site that doesn’t allow you to install new software like DAX Studio on their machines. But you always have access on Power BI Desktop temporary files.

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BISM Tabular, Business Intelligence - BI, Power BI, Power BI Desktop

Demystifying “DirectQuery” and “Connect Live”

The terms “DirectQuery” and “Connect Live” are somehow confusing. I saw lots of people are using both terminologies as alternatives. But, the context of “DirectQuery” and “Connect Live” are very different indeed. Therefore, if use a a terminology when we’re talking about a different context then the whole situation might get quite confusing. in this post I try to explain the differences and make it more clear to prevent using a wrong terminology and make sure everyone is on the same page when we’re referring to “DirectQuery” or “Connect Live”.

When we use the “DirectQuery” terminology we are actually talking about connecting from Power BI Desktop instance to an RDBMS type of data source like SQL Server DB or Oracle DB.

There are two types of data connections when we’re connecting to RDBMS like SQL Server or Oracle DB from Power BI Desktop:

  • Import Data: which literally loads data into the underlying model to make it available in memory
  • DirectQuery: which doesn’t load data into model. Instead, it runs multiple concurrent queries on the RDBMS side (data source side) and gets the results. This is good to support real-time data processing.

Note: The same principal applies to SSAS Tabular.

DirectQuery/Data Import Mode in Power BI Desktop

On the other hand, when talk about “Connect Live”, we are referring to the data connection type from a reporting tool like Power BI Desktop OR Excel to an instance of SSAS, either SSAS Multidimensional or SSAS Tabular.

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Azure, Azure Analysis Services, Azure Data Factory, Azure Data Lake, Power BI, Power BI Desktop, SQL Server, SQL Server Integration Services - SSIS, Tampa Dev

Azure Data Lake, Azure Analysis Services, Power BI and How They Relate

Loading Data From On-prem SQL Server to Azure Data Lake Store and Data Visualisation in Power BI

I recently spoke in Tampa Dev Azure Meeting in a webinar form on 31st Jan 2018. We received interesting questions during the presentation. My aim was to introduce basic concepts of Big Data, Azure Data Lake, Azure Data Lake Store (ADLS), Azure Data Factory (ADF)  and Power BI.

I would like to thank Tampa Dev organisers and all attendees for giving the opportunity to speak in this session.

In this session you learn basic concepts of:

  • Big Data
  • Azure Data Lake
  • Azure Data Lake Store (ADLS)
  • Azure Data Factory (ADF)
  • Azure Analysis Services (AAS)
  • Power BI
  • And how they relate

Session recording:

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BISM Tabular, DAX, Power BI, Power BI Desktop, Power Query, SQL Server Analysis Services - SSAS, SQLite

SSAS Tabular Model Documenter with Power BI without DMVs

SSAS Tabular Documenter with Power BITechnology is growing fast and we are enjoying it. We reshape our daily created data in a form that satisfies our needs. One of the technologies which is used more commonly these days is SQL Server Tabular Models, SSAS Tabular in short. Lots of industries decide to go with SSAS Tabular in their new projects and some defined new projects to slowly switch their existing SSAS Multidimensional to SSAS Tabular. I know, there is a big debate around SSAS Multidimensional vs. SSAS Tabular. But my aim is to prevent going through that sort of discussion. As the title implies, this post is about documentation that I believe is one of the most important parts of every project which is also sacrificed the most. In this post I explain how to document your SSAS Tabular model in Power BI Desktop and Excel. I know, there are some products you can find in the internet that can generate documentation in various formats like Word, PDF, HTML and so on. But, If you’re looking for a free and somehow more intuitive way of documenting your SSAS Tabular Models with Power BI then this article is for you.  Through this article, we create a documentation tool with Power BI. I call it SSAS Tabular Model Documenter. In this method we don’t use DMVs at all. For those who are not familiar with DMVs I shortly explain what DMVs are, if you’re already familiar with DMVs you can jump this section.

You can download a copy of SSAS Tabular Model Documenter in Power BI template format (pbit) at the end of this post. It is a Christmas present for you.

What are DMVs?

Dynamic Management Views, DMVs in short, are queries that retrieve metadata information about an instance of SQL Server Analysis Services. DMVs work on both SSAS Multidimensional and SSAS Tabular server modes. DMVs can be used to monitor server operations and health. The DMV query structure is very similar to T-SQL, therefore you use “SELECT” statement followed by “$System” which is an XMLA schema rowset. The DMV queries look like below:

SELECT * FROM $System.<schemaRowset>

So you can open SQL Server Management Studio, connect to an instance of SSAS (Tabular model for the sake of this post) and run the following query to get lots of information about tables in your Tabular model:

select * from $SYSTEM.TMSCHEMA_TABLES

Running DMVs in SSMSRead more about DMVs here.

Note:This method only works with SSAS Tabular 2016 and above.

Document SSAS Tabular without DMVs

In SSAS Tabular 2016 and above there is a tiny metadata database that can be loaded in Power BI Desktop or Excel to document the corresponding SSAS Tabular model. The database is a SQLite database. In the previous post I explained how to visualise SQLite data in Power BI. The requirements for this post are the same as the previous post, so I encourage you to check it out. Therefore, I just explain how to find the metadata file and how to build a model in Power BI Desktop. I also explain how to do the same in Excel for those of you who would like to add some annotations or comments to the outcomes.

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