11/01/2023
if you count the number of customers coming into your shop each day and store that data as a simple number, those data points are only ever going to tell you one thing.
If you record them coming in on video, however, then as well as the basic number of customers coming in, you can find out all sorts of other information – are your customers male or female? What’s their age range, how do they like to dress? In the future, you might even be able to fit facial analytics technology and tell what mood they are in when they walk through your door!
Yes, you could dump all of that information into a data lake. However, there would be important issues of data governance to address – such as the fact you’re dealing with personal information. A lakehouse architecture would address this by automating compliance procedures – perhaps even anonymizing data where it was needed.
https://www.forbes.com/sites/bernardmarr/2022/01/18/what-is-a-data-lakehouse-a-super-simple-explanation-for-anyone/?sh=3acbd6c16088
Data lakehouses enable structure and schema like those used in a data warehouse to be applied to the unstructured data of the type that would typically be stored in a data lake. This means that data users can access the information more quickly and start putting it to work.
