The evolution of data architectures over the years has shaped the effectiveness of data strategy, catering to diverse analytical workloads. This article introduces various data architectures, including operational data stores (ODS), enterprise data warehouses (EDW), and data marts, that have evolved to meet continuously growing analytical needs. Additionally, the article briefly discusses MDDBs and hybrid data architectures. With the increasing dependency on big data and business analytics, effective data strategies built on well-designed data architectures are essential for organizations to stay competitive in various industries.
