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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. Curate the data.

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

CIO

In 2025, data management is no longer a backend operation. The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive.

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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. ” The Fungible team will join Microsoft’s data center infrastructure engineering teams, Bablani said. .

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

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

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

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.

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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Qarnot creates green data centers by putting servers in central heating boilers

TechCrunch

Running a data center means that you have to find innovative ways to manage heat from the servers. This is an innovative way of building decentralized data centers. Qarnot has found a way to counter this seasonality effect by building a new product — scalable boiler systems. It has raised a €12.5 million funding round ($13.3

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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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The Modern Encryption Software Checklist: The Secret to Understanding Your Data Security Needs

Understanding your data security needs is tough enough, but what can be even more difficult is choosing the right software to fit your company. Flexibility and scalability. Fortunately, there is a solution. Key management system. User authentication and advanced security factors. Enterprise features. Download the checklist today!

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Going Beyond Account-Based Marketing: Why ABM-i is the Wave of the Future

Learn 8 strategies to use data and technology to create scalable yet personalized ABM programs. Evolve beyond account-based marketing and create a hyper-personalized approach that considers stakeholders as individuals. Download the guide.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

To make things tougher, they needed something flexible, scalable and capable of serving different user types. Sam and Jessica will walk through how they: Discovered the data and analytics needs of their users, including understanding what data sources they needed access to. Balanced competing priorities and managed expectations.

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.