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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. Cloud storage.

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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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Bridging the gap: Unified platform for VM and containerized workloads

CIO

To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. The open-source Kubernetes platform automates container deployment, scaling, and management, but it’s a complex environment.

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The future of data: A 5-pillar approach to modern data management

CIO

Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another. The field of data observability has experienced substantial growth recently, offering numerous commercial tools on the market or the option to build a DIY solution using open-source components.

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InnerSource, a practice that brings open-source principles to internal software development within organizations

Xebia

InnerSource can be defined as the application of open-source software development principles within an organization’s internal software development processes. It draws on the valuable lessons learned from open-source projects and adapts them to the context of how companies create software internally.

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Navigating the future of national tech independence with sovereign AI

CIO

This ensures data privacy, security, and compliance with national laws, particularly concerning sensitive information. Compliance with the AI Act ensures that AI systems adhere to safety, transparency, accountability, and fairness principles. It is also a way to protect from extra-jurisdictional application of foreign laws.

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Large Scale Industrialization Key to Open Source Innovation

Cloudera

We believe that, as one of the earliest pioneers of industrial strength open source software, we have had the opportunity and the experience to help drive an acceleration in the evolution of some very fundamental shifts in open source development. Open source in the next decade. Let’s discuss. .