This article discusses a strategy for modernizing complex domains with monolithic databases through four phases: decomposition, prioritization, coexistence, and targeted rollout. The approach offers benefits such as improved scalability, availability, and security of data, the reduced workload on legacy systems, early cutover of dependent systems, and incremental cost savings through on-demand pricing for data storage. Additionally, the strategy provides early availability of analytical data for data-driven decision-making through machine learning and artificial intelligence-led transformation, quick wins, and early data validation.
Modernization refers to the process of updating an organization’s systems, processes, and infrastructure to keep up with changing business needs and technological advancements. In today’s fast-paced digital landscape, modernization is crucial for organizations to stay competitive and meet the expectations of their customers.