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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.

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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.

Azure 282
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Design Token-Based UI Architecture

Martin Fowler

Design tokens are fundamental design decisions represented as data. Andreas Kutschmann explains how they work and how to organize them to balance scalability, maintainability and developer experience.

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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases.

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Why CIOs must lead the charge on ESG – and why enterprise architecture is the key

CIO

In an era marked by heightened environmental, social and governance (ESG) scrutiny and rapid artificial intelligence (AI) adoption, the integration of actionable sustainable principles in enterprise architecture (EA) is indispensable. Training a single AI model emits as much as five average cars over their lifetimes.

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

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.