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Data Governance, Data Leadership or Data Architecture: What Matters Most?

Dataversity

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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Data Projects Should Start with Data Governance

Dataversity

The hallmark of any successful Data Governance implementation is awareness. The post Data Projects Should Start with Data Governance appeared first on DATAVERSITY.

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Why Is Data Quality Still So Hard to Achieve?

Dataversity

In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […] The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.

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Trends in Data Governance and Security: What to Prepare for in 2024

Dataversity

As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems. From […] The post Trends in Data Governance and Security: What to Prepare for in 2024 appeared first on DATAVERSITY.

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How to Assess Data Quality Readiness for Modern Data Pipelines

Dataversity

The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […] The post How to Assess Data Quality Readiness for Modern Data Pipelines appeared first on DATAVERSITY.

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Data Governance at the Edge of the Cloud

Dataversity

The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].

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Data Lakes Are Dead: Evolving Your Company’s Data Architecture

Dataversity

How can your company redesign its data architecture without making the same mistakes all over again? The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […].