Loading data refers to importing the data into an Excel worksheet or Power BI report. Transforming the data refers to performing data manipulation using the Power Query editor. That's where you ...

Power Query is a powerful tool for modeling and shaping data. While it can load data from a variety of data sources, such as Excel, comma-separated value (CSV), and text files, and SQL, MySQL ...

Navigating the world of data management can often ... Excel workbooks Databases (SQL, Access) Web pages JSON and XML files Once imported, the Power Query Editor provides a visual interface for ...

In this post, we will show you how to split Data into Rows using Power Query. While exporting data from other systems or sources, you may encounter situations when the data is stored in a format ...

Click the X in the upper right-hand corner to close the Power Query Editor. A window will open and ask if you want to keep your changes. Choose Keep. The workbook with our data will open in Excel, ...

Once the data is imported, it appears in Power Query’s editor. This preview step is crucial for identifying any inconsistencies, unnecessary rows, or columns that require cleaning. By reviewing ...

To do so, click the Data tab and then choose Launch Power Query Editor from the Get Data dropdown in the Get & Transform Data group. To add a blank query, right-click in the query panel (to the ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first ... the backbone of enterprise IT data ...

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.