Before it gets served. And just like a kitchen has lots of appliances to help you with that. Our Kitchen of Power BI: The Query Editor has lots of tools available for you, in it’s easy to use ribbon interface. The Query Editor, essentially lets you do two things: Connect to Data Sources Clean, Shape, Transform “Messy” Business Data For connecting to Data Source: Power BI Query Editor has built in connectors for lots and.
Lots of data sources (in fact more than any other BI tool on the market). Of course you can connect to popular ones like: Excel Files, OneDrive or SharePoint Files and Folders, SQL Databases, Azure and Cloud Databases, And a whole lot more But the next step is really important. Because Real Business Data is always Messy Data. You may need to clean your data -- You may need to map your data (especially if coming from multiple systems) -- Or transform your data.
In other ways And you can do all that, easily by just clicking the buttons available to you right in the toolbar of the Query Editor. And it almost has everything you would ever need: Remove Selected Rows. Split Columns. Replace Values. Merge or Append Queries. And a whole bunch of transformations. From Pivot and Unpivot. To Text, Number or Date/Time Transformations And a whole lot more… You can see, why I call it the Kitchen of Power BI..
The best part, once your steps are recorded by the Query Editor, you can refresh ALL your data sources by just a single click Or even set up automatic scheduled refresh (so you don’t even have to click that button) The next component is relationships. But relationships are actually part of a bigger concept which is often ignored. So we're going to come back.
Excel has a Formula Language. Imagine an Excel User, who has never learned the Excel Formula Language. They can’t write a single Excel formula. They are not going to be very good at Excel, would they? Same is true for Power BI. The Formula Language in Power BI is called DAX. That stands for Data Analysis Expressions. You don’t need to care about the name, but you do need to learn DAX. So if you want to do anything interesting: Say:.
Compare Sales & Budget to calculate Variance. Or Show Year over Year Growth. Or New vs. Existing Customers. Or a hundred other things you may want to show on your Dashboard You’re going to need to learn DAX. So you can define those formulas, that then let you create the beautiful visuals. This component – Visualizations or Pretty Charts - is what most people think is Power BI. This is the only part visible to the end user using your reports. But now you.
Know that it is built on those other two critical components: Query Editor & DAX. Because you can’t create charts with messy data. And you can’t create effective charts without defining any formulas or calculations. But if you have done that right, then creating charts becomes super easy. Because all you have to do is drag and drop the fields you want to see and select the type of visual. Power BI has some incredible built-in visuals. And Power BI reports are always fully.
Interactive. That means you can click on any chart element to see details just for that element. Those are the three key components. Let's talk about the bonus component. I mentioned relationships, but relationships are actually part of a bigger concept called Data Modeling. Power BI relationships basically let you connect two tables. If you are familiar with VLOOKUP in Excel, or a join in SQL, then relationships are similar to that but more powerful. You can create.
A relationship, easily by just dragging and dropping to connect the right fields between two tables. But it's not just about connecting tables, this is about Data Modeling. This is about understanding your business and modeling your data to map your business. So your business *processes* become data tables and your business entities become your Lookup Tables. In our simple example: The “Sales” Table maps the Sales Process. And the Lookup Tables are the Business.
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Entities: The Who, What, Where, When, How. Which Product was Sold? When was it Sold? Who - ID Card Make
Sold this Product? Where was the Sale made? Etc. Data Modeling is perhaps the most overlooked, but also the most important skill for a Power BI Professional. So now you know the different components of Power BI that you need to learn. So if you are serious about getting good at Power BI, then stop learning it, in bits and pieces. Instead,.
