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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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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).

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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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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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The Unexpected Cost of Data Copies

Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk.

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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. Regulatory and compliance challenges further complicate the issue.

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Can serverless fix fintech’s scaling problem?

CIO

The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Architecture complexity.