To say the global retail market is challenging today would be a gross understatement. A rising cost of living, demanding consumer expectations, supply chain disruption and unforeseen public health crises like COVID-19 all contribute to the erosion of retailers’ bottom lines. However, retail media has in recent years emerged as an increasingly promising guard against these economic uncertainties and can even serve as a profitable revenue stream.

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse, data lake and data lakehouse, and distributed patterns such as data mesh. Each of these architectures has its own unique strengths and tradeoffs.