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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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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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Agentic AI design: An architectural case study

CIO

He brings more than 30 years of experience across some of the largest enterprise customers, helping them understand and utilize AI ranging from initial concepts to specific application architectures, design, development and delivery. This article was made possible by our partnership with the IASA Chief Architect Forum.

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Agile Architectures

Agile Alliance

Some folks swear a microservices architecture is always a good choice and that a monolith architecture is always a bad choice. Come to think of it – what architecture is a good choice for you and your product? Not all software architectures are equal. But is this true? And is this true for you and your product?

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery.

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Scaling the Practice of Architecture, Conversationally

Martin Fowler

Like many modern software architects, Andrew Harmel-Law struggles with the need to scale architectural thinking to larger organizations while allowing teams to be as autonomous as possible. In this first installment , Andrew describes this advice process, later installments will dig into four supporting elements that help make it work.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The future will be characterized by more in-depth AI capabilities that are seamlessly woven into software products without being apparent to end users. An overview.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve.

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Understanding Open Source Business Models for the C-Suite

Choosing software to bake into your architecture is a long-term decision and it is important to understand all the implications of your choice. Learn three key areas that should be considered when evaluating a particular open source project.

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Architect Your Organization for Effectiveness, Productivity, and Joy

Speaker: Ron Lichty, Consultant: Interim VP Engineering, Ron Lichty Consulting, Inc.

As a senior software leader, you likely spend more time working on the architecture of your systems than the architecture of your organization. In fact, the impact of software architecture parallels the impact of organizational structure. The wrong organizational structure can create friction of all kinds.

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Use Cases for Apache Cassandra®

In this white paper, discover the key use cases that make Cassandra® such a compelling open source software – and learn the important pitfalls to avoid. There’s a good reason why Apache Cassandra® is quickly becoming the NoSQL database of choice for organizations of all stripes.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.