A daily treasure trove for architects, expanding your view and depth. We share enterprise, business, application, data, technology, and security architecture, discuss frameworks, planning, governance, standards, and implementation, and explore emerging styles such as microservices, event‑driven, micro‑frontend, big data, data warehousing, IoT, and AI architecture.
The article surveys the most important data‑science tools—including Jupyter Notebooks, notebook lab platforms, RStudio, Sweave/Knitr, IDEs, domain‑specific solutions, hardware, and data sources—explaining how they support modern, real‑time analytics and help organizations turn raw data into actionable insights.
The article explains how to define security requirements within business context, outlines strategic security architecture principles, distinguishes governance, management and operations, and describes the steps and components needed to formalize and prioritize effective security processes for an organization.
The article outlines eBay’s key scalability best practices—including functional partitioning, horizontal sharding, eliminating distributed transactions, aggressive asynchronous decoupling, intelligent caching, and pervasive virtualization—to illustrate how large‑scale web systems can achieve linear or sub‑linear growth while maintaining availability and performance.
The article explains how enterprise architecture (EA) principles and design architecture principles (DAPs) should be defined, prioritized, and linked to business goals to guide technical standards, overcome resistance, and drive effective governance and behavioral change within organizations.
The article explains information governance as a business‑driven program that ensures data accuracy, completeness, consistency, accessibility, and security, outlines three essential roles, describes the data administrator’s duties, and details the key procedures and their relationship to corporate and IT governance.
In this interview, veteran CIO Neal Sample discusses why every architecture eventually becomes outdated, emphasizes curiosity and continuous learning, and highlights machine learning and artificial intelligence as the most promising technologies to drive game‑changing results for enterprises in the next 12‑24 months.
This article explains business architecture as the bridge between business models and strategy, defines Enterprise Business Architecture (EBA), outlines its four key dimensions—people, finance, process, and organization—and discusses the various factors that influence its design and implementation.
The article explains how C‑suite executives become prime targets for hackers through data broker profiles, insecure home networks, personal accounts, ransomware, and family members, and provides practical steps to reduce their personal attack surface and improve overall security.
The article examines how senior IT executives at companies such as Steelcase, Walgreens Boots Alliance, and NCR use strategic digital transformation, cloud‑based ERP, automation tools, and data‑driven processes to improve customer experience, operational efficiency, and cash flow across large enterprises.
The article explains how CIOs must shift to an advisory role, build trusted relationships with business units, and actively participate in technology spending decisions to drive digital transformation, reduce redundant SaaS costs, and create value‑focused IT‑business collaboration.
