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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

It has become a strategic cornerstone for shaping innovation, efficiency and compliance. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns. In 2025, data management is no longer a backend operation.

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Are enterprises ready to adopt AI at scale?

CIO

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.

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Top 10 governance, risk, and compliance certifications

CIO

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another.

Data 167
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From project to product: Architecting the future of enterprise technology

CIO

In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.