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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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Vibe Coding: Shaping the Future of Software

Hacker Earth Developers Blog

I have seen firsthand that this change makes software more accessible to everyone. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems.

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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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What a 500-Year-Old Brewery Can Teach Us About Modern IT Architecture

Xebia

Their journey offers valuable lessons for IT leaders seeking scalable and efficient architecture solutions. This story may sound familiar to many IT leaders: the business grows, but legacy IT architecture cant keep up limiting innovation and speed. Domain-Driven Design gurus could see good old bounded contexts here.

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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Architecture complexity. Legacy infrastructure.

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The future of Cloud-native software development with Radius

Xebia

The rise of platform engineering Over the years, the process of software development has changed a lot. Initially, our industry relied on monolithic architectures, where the entire application was a single, simple, cohesive unit. On top of that, a single bug in the software could take down an entire system.

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Reimagine application modernisation with the power of generative AI

CIO

3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth. The Software Development Life Cycle (SDLC) will be redefined and various job roles will merge into a unified, frictionless workbench of expert creation.