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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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MCP, ACP, and Agent2Agent set standards for scalable AI results

CIO

The new protocols will enable IT teams to seamlessly connect diverse AI agents and to reduce the cost and complexity of AI integrations, adds Gary Lerhaupt, vice president of product architecture at Salesforce. AI is already moving extremely fast, but speed without standardization just leads to chaos, he says.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO

Developing a robust technical architecture for digital twins necessitates a comprehensive understanding of several foundational components and integration of advanced technologies. This architecture allows for better decision-making, predictive maintenance and enhanced operational efficiency. Digital model.

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The key to operational AI: Modern data architecture

CIO

To succeed, Operational AI requires a modern data architecture. These advanced architectures offer the flexibility and visibility needed to simplify data access across the organization, break down silos, and make data more understandable and actionable.

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

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently.

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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. For those working within or alongside EA, these concepts are well-established pillars of the discipline.

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

That’s why we developed this white paper to give you insights into four key open-source technologies – Apache Cassandra®, Apache Kafka®, Apache Spark™, and OpenSearch® – and how to leverage them for lasting success.

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Best Practices for Deploying & Scaling Embedded Analytics

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

We will hear about specific use cases where organizations leveraged serverless refactoring, containerization or a combination of both solutions, that resulted in improved performance, availability, and scalability. How to make the right architectural choices given particular application patterns and risks.