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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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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 […].

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Five Data Governance Trends for Digital-Driven Business Outcomes in 2021

Dataversity

However, with data protection laws and positive awareness across the world, firms have extended the formalization to data collection management. The post Five Data Governance Trends for Digital-Driven Business Outcomes in 2021 appeared first on DATAVERSITY. This, in fact, is the first […].

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Data Management Predictions for 2024: Five Emerging Trends

Dataversity

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.

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Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Agility is key to success here.

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5 Best Practices for Data Management in the Cloud

The Data Administration Newsletter

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.