One of the benefits of working in consulting is I see lots of things, and what I try to do with these topics is less about zeroing in on a specific solution or a specific way of doing things, but we like to look at things more like, what are the patterns, what are the different ways that people can do it maybe using different types of technology stacks?
They have a bunch of data sources, so they've got ERP systems, CRM system. They do their finance. They get external data. Then they ingest their data through a data lake or a storage.
What I like about using data products, and some of the ideas in data mesh, is that we can talk about data architectures slightly like this.
They might put it in a data warehouse, on a data mart where lots of consumers can use that data. They put it on a dashboard to write reports, to train machine learning models, or to do exploratory data analysis.
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