Data aggregation is when you take a lot of small pieces of information and combine them into a bigger summary. It’s like collecting puzzle pieces and putting them together to see the bigger picture.
For example: If you collect data about daily temperatures from different cities, you can aggregate it to find the average temperature for the whole country.
Instead of looking at every single detail, you can focus on the overall trends or patterns. it alse saves time: It’s easier to analyze summarized data than thousands of individual points.
In short, data aggregation turns lots of small pieces of data into something more useful and easy to understand.
