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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. All interactions are digital interactions. In a business context, this is defined as an interaction. The open data stack.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

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Insights from Gartner Data & Analytics Summit Orlando 2023

Alation

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. We couldn’t agree more.

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Why the Data Journey Manifesto?

DataKitchen

The DataOps Manifesto is a useful set of principles to guide your understanding of these powerful, grounded, industry-spanning ideas on improving technical team productivity, delivery quality, and cycle time in data analytics. So today, another fundamental idea needs to be defined and given the manifesto treatment: the Data Journey.

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The Future Is Hybrid Data, Embrace It

Cloudera

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. That’s where modern data architectures like data lakehouse, data fabric and data mesh come in.

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