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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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The key to operational AI: Modern data architecture

CIO

The team should be structured similarly to traditional IT or data engineering teams. To succeed, Operational AI requires a modern data architecture. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to. Scalable data infrastructure As AI models become more complex, their computational requirements increase. NetApp is already addressing many of these challenges.

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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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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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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. BigFrames 2.0 bigframes.pandas provides a pandas-compatible API for analytics, and bigframes.ml

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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.