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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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SAP publishes open source manifesto

CIO

It arrives alongside the announcement of SAP’s Open Reference Architecture project as part of the EU’s IPCEI-CIS initiative. It’s an open secret that even proprietary software contains open source components these days, and major vendors are, to varying extents, supporting or participating in open source projects.

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

CIO

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. Scalable data infrastructure As AI models become more complex, their computational requirements increase.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

They promise to bring greater flexibility and easier scalability. Smaller code bases are easier to understand, and with clearly separated services the overall architecture is much “cleaner”. Rather, the focus was on adapting current tools for use with this new architectural style.

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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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From Prompt to Running Microservice: ServiceBricks Step-By-Step

Dzone - DevOps

Microservices have become a popular architectural style for building scalable and modular applications. ServiceBricks aims to simplify this by allowing you to quickly generate fully functional, open-source microservices based on a simple prompt using artificial intelligence and source code generation.

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Improving Retrieval Augmented Generation accuracy with GraphRAG

AWS Machine Learning - AI

To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context. Lettria provides an accessible way to integrate GraphRAG into your applications.

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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.