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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 Modeling Techniques and Best Practices

Dataversity

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

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Why You Should Care About Data Modeling

The Data Administration Newsletter

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

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Why Enterprise Data Planning Is Crucial for Faster Outcomes

Dataversity

Are you planning on strategically using data to improve the efficiencies of your value chains? This can happen with artificial intelligence models that can make a journey interesting for […]. The post Why Enterprise Data Planning Is Crucial for Faster Outcomes appeared first on DATAVERSITY.

Planning 130
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Where Is the Data Technology Industry Headed?

Dataversity

We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. Click here to learn more about Heine Krog Iversen.

Planning 246
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What is Data Architecture? A Look at Importance, Types, & Components

Astera

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling.