The article reviews the implementation of 2021 data platform predictions, outlines three evolution hotspots from 2021‑2023, and forecasts three future trends and unresolved challenges, emphasizing the shift from traditional database systems to AI‑driven, cloud‑native lakehouse architectures.
The second part of the six‑part series analyzes Google Trends data and the Open Group's certification landscape, showing a decline in generic EA terms while specific topics like master data, micro‑services, cloud‑native computing and new TOGAF‑related certifications are gaining interest.
The article reviews the evolution from monolithic to cloud‑native architectures, highlights 2022 trends such as microservices, service mesh, multi‑cloud strategies, and shares practical experiences and advice from Alibaba Cloud experts on adoption challenges, organizational impact, and future directions.
