Skip to main content

Gateway Connection

 Power BI

Gateway Connection :


→  Upgrade your free account  on the Power BI Service from Free to Pro version


→  To upgrade, just click on the "Try Pro for Free". Let's see the difference between the free and pro version


→  The first difference is that you can create Apps and a new workspace


→ Next, we will install the gateway. Please note that the gateway can be installed in the free version too, but the schedule refresh can't be set


→ Goto Datasets, and click on the Gateway connection - Install now


Types of gateways

There are two different types of gateways, each for a different scenario:

  • On-premises data gateway allows multiple users to connect to multiple on-premises data sources. You can use an on-premises data gateway with all supported services, with a single gateway installation. This gateway is well-suited to complex scenarios with multiple people accessing multiple data sources.

  • On-premises data gateway (personal mode) allows one user to connect to sources, and can’t be shared with others. An on-premises data gateway (personal mode) can be used only with Power BI. This gateway is well-suited to scenarios where you’re the only person who creates reports, and you don't need to share any data sources with others.

There are four main steps for using a gateway.

 

Download and install the gateway on a local computer.

Configure the gateway based on your firewall and other network requirements.

           → Add gateway admins who can also manage and administer other networks

          → Use the gateway to refresh an on-premises data source.

Troubleshoot the gateway in case of errors.


Comments

Popular posts from this blog

Bookmarks and Buttons

Power BI   Bookmarks and Buttons Select some columns into a table : Copy Visual and Paste, change it to Bar Chart by selecting any one of the columns and overlap both visuals: Goto View → Enable selection Pane and Bookmark Pane In selection Pane, we Can hide and Display visuals Bookmarks helpful to display state of visualizations : Now, Create a bookmark : → Add Buttons   → Capture Visuvals by hiding required visuals  Now,  → Hide the Table and Off button create bookmark and capture bar chart Hide the bar chart and On Button, create bookmark and capture table Click on Bookmark1 and select the visible button and Enable action in the properties pane Type: Bookmark Bookmark: Bookmark2 Click on Bookmark2 and select the visible button and Enable action in the properties pane Type: Bookmark Bookmark: Bookmark1 Now, Ctrl+click on buttons to Capture Visuals

Difference Between Calculated Column And Measure

Power BI  Difference Between Calculated Column And Measure  Calculated Column / Measure : Calculated Column  :  A calculated column is an extension of a table using a DAX formula that is evaluated for each row. If you are accustomed to using Excel, you will remember that in Excel you often need to copy a formula for each cell of a new column, unless you format your range as a table. This results in each cell potentially having a different formula because of different cell references. When you write a calculated column formula, it is automatically applied to the whole table and evaluated individually for each row. Note: The Total summation value does not give correct values in calculated columns  Example :  Cal is Table name caluculated_Column = cal[cost]/cal[sales] caluculatedMeasure = SUM(cal[cost])/SUM(cal[sales]) Here Total sales/ Total Cost value gives 0.90 in measure 21/19 = 0.90 Where as in calculated column gives 5.00 wrong results sumx_Measure = SUM...

Power BI Architecture

Power BI Power BI Architecture :     Power BI architecture has three phases. The first two phases use ETL (extract, transform, and load) process to handle the data. Data Integration:   Data extract from different sources like databases, csv files, excel files, cloud, and different servers...etc Then the data is integrated into a standard format and stored at a common area that's called the staging area. Data Processing: Still, the integrated data is not ready for visualization because the data needs processing before it can be presented. This data is pre-processed. For example, the missing values or redundant values will be removed from the data sets. After that, the business rules will be applied to the data, and it transforms into presentable data. Then this data will be loaded into the data warehouse. Data presentation: once the data is processed. We can present data in visualizations and create reports These visual reports help business end-users to make business d...