Power BI: Transforming Data with ETL Techniques
In a world driven by data, making informed decisions is paramount. Enter Power BI, a dynamic tool that transforms raw data into meaningful insights.
Power BI stands out for its user-friendly interface, seamless integration and powerful visualization tools. Whether you are a business analyst, data enthusiast, or decision maker, Power BI empowers you to unlock the true potential of your data.
Download Power BI Desktop from the official Microsoft link.
https://www.microsoft.com/en-us/download/details.aspx?id=5849
Let’s start exploring key ETL techniques within Power BI.
ETL Techniques
Extractions:
- Data in Power BI is imported from diverse data sources.
- Data import strategies are between importing data directly or creating a connection to maintain a live link to the source.
Transformation:
- Data type formatting to ensure consistency and accuracy in analysis.
2. Power Query:
Power BI Desktop also comes with Power Query Editor. Use Power Query Editor to connect to one or many data sources, shape and transform the data to meet your needs, then load that model into Power BI Desktop.
