The 4A architecture provides a full‑link methodology that connects business, data, application, and technology layers, enabling enterprises to avoid siloed projects, streamline digital initiatives, and build a cohesive, scalable digital capability in the long term.
The article explains Enterprise Architecture as a systematic, organization‑wide method that aligns business capabilities, processes, data, applications, and technology with strategic goals, clarifies common misconceptions, and illustrates its practical application through a detailed e‑commerce case study.
The article analyzes McKinsey’s report on technology architecture, using Starbucks’ 2025 initiatives to illustrate how modular, data‑driven, globally‑focused designs and proactive technical‑debt management empower businesses to shift IT from a support role to a strategic growth partner.
Enterprise Architecture, essential for competitive advantage, is explored through TOGAF’s comprehensive framework and the 4A model, detailing business, application, technology, and data architectures, their purposes, design steps, and visualization techniques, offering practical guidance for building coherent, integrated enterprise blueprints.
This article explains the TOGAF framework and its 4A architecture model—Business, Technology, Application, and Data Architecture—detailing each domain's definition, purpose, value, and step‑by‑step guidance for creating enterprise architecture diagrams to align strategy, processes, and technology.
This article explains the 4A enterprise architecture model, compares it with TOGAF and Huawei’s “One Body Four Faces” framework, outlines the four architectural layers, and shows how Domain‑Driven Design can be mapped onto each layer with concrete examples and diagrams.
This article explains enterprise architecture (EA), its main frameworks such as Zachman and TOGAF, the four architectural domains (business, application, data, technology), why organizations adopt EA, and provides an extensive EA glossary of terms and concepts.
The article recounts JD’s journey from a small team building an in‑house advertising system that saved billions, through successive PC, mobile, and middle‑platform eras, to current AI‑driven retail innovations, highlighting strategic decisions, architectural challenges, and the importance of aligning technology with business goals.
This article provides a comprehensive overview of the Internet of Things, covering its definition, historical milestones, four-layer architecture, edge computing concepts, and common network topologies such as star, ring, bus, and mesh, while highlighting key industry events and technical considerations.
This article explains the concept of architecture, distinguishes business and technical architecture, describes digital‑transformation architecture, outlines why architecture is essential for digital initiatives, compares enterprise‑architecture and agile‑development approaches, and provides practical guidance for designing business and technology architectures in a transformation journey.
This article explains the essence of software architecture, its core principles, the distinction between development and architecture design, and presents a methodology based on TOGAF and the ADM cycle, covering business, data, application, and technology architecture domains.
This article clarifies the relationships among Business Architecture (BA), Data Architecture (DA), Application Architecture (AA) and Technology Architecture (TA), explains their roles within strategic, business, and solution layers, and walks through a concrete stock‑purchase example to illustrate end‑to‑end design and implementation.
The article explains enterprise technology architecture as a set of reusable standards and guidelines, outlines how to initiate its development by defining future and current states, and describes organizational concepts such as technical domains, patterns, and services for end‑to‑end system design.
This article explains enterprise architecture (EA) as a disciplined practice for analyzing, designing, planning, and implementing business and IT alignment, outlines major EA frameworks such as Zachman and TOGAF, describes the four architectural domains, and provides a comprehensive EA glossary.
The article explores the evolution of big‑data applications in China, from Oracle’s trend report and the concept of "omni‑domain data" to UMENG+’s technical architecture, unified tech stack, AI integration, and future directions for delivering real customer value.
Although written in 2014, this article remains relevant as it compares the distinct technology strategies of three major Chinese e‑commerce players—Taobao’s open‑source approach, JD.com’s .NET‑based architecture, and Suning’s adoption of IBM WCS—highlighting their development demands, scaling challenges, and staffing efforts.
Uber’s CTO Thuan Pham revealed at a Chinese tech salon how the company’s global architecture, data‑center strategy, cloud partnership with Baidu, anti‑fraud machine‑learning models, map localization and big‑data analytics together enable a unified yet locally adapted ride‑sharing platform across China and the world.
