Data blending is a technique that combines data from two or more sources into a single view or analysis. This allows analysts and data scientists to gain insights that would be difficult or impossible to obtain from a single data source. With data blending, you can compare and contrast data from different sources, identify patterns and correlations, and discover new insights that can inform business decisions.

One of the main benefits of data blending is that it allows you to work with data that might not be available in a single data source. For example, you might have customer data in one system and sales data in another. With data blending, you can bring these two data sources together and analyze them in a single view.

Another benefit of data blending is that it allows you to work with data that might be too large or complex to analyze in a single data source. By breaking the data down into smaller pieces and blending it together, you can gain insights that would be difficult to obtain otherwise.

Data blending is a powerful technique that can help you make informed decisions and gain a competitive advantage. By combining data from multiple sources, you can gain a more complete picture of your business and your customers, and make data-driven decisions that improve your bottom line.