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Data Product is an exciting new concept - which means that every software vendor in the data space has their version of what data products are and the best way to build them. Each type of data product makes sense in a context - it solves specific problems for specific organizations with specific pre-existing capabilities and requirements. This talk will explore a few of the popular types of data products in those contexts and show example architectures that I’ve seen built to deliver these types of data products. By the end of the conference, you will be able to have a sensible conversation with your team and vendors; You will be discussing requirements, constraints, complexity, and costs - not buzzwords and hype.
Data Products: Hype vs. Reality
Gwen (Chen) Shapira
Chief Product Officer
Stealth Startup