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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. Optimize data flows for agility.

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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. The post Agile Architectures first appeared on Agile Alliance.

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Agentic AI design: An architectural case study

CIO

A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations. There are many reasons to build your own. Investments in AI agent projects are expected to yield orders of magnitude in ROI and business value if companies select high-impact use cases.

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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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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.

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Rethinking enterprise architects’ roles for agile transformation

CIO

CIOs often have a love-hate relationship with enterprise architecture. In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.

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Building a better future: The enterprise architect’s role in leading organizational transformation

CIO

Decisions made in isolation lead to inefficiencies, slower responses to market changes, and a lack of agility that stifles innovation. Architects help organizations remain agile, innovative, and aligned by bridging gaps between strategy and technology. The future of leadership is agile, adaptable and architecturally driven.

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Looking to Implement Agile Architecture in Your Company?

Speaker: Scott Middleton CEO & Founder, Terem Technologies & Anthony Murphy, Product & Agility Lead, UST Global

Agile architecture is a lever for unleashing autonomy and enabling agility in product teams. Watch this session with Anthony and Scott to go in depth on everything you need to know about agile architecture, and how to implement it.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.

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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. The "two pizza" team culture. How Amazon thinks about metrics.