Remove Data Architecture Remove Data Governance Remove Data Security Remove Innovation
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How to meet the challenges unique to enterprise scale

Domo

The 4 major data challenges organizations face. Over the years, Domo has found that most organizations face up to four major data challenges: Innovating without disrupting processes. Innovation is key to improving processes and increasing efficiency. Governance Toolkit. Big data is on the rise. What’s left?

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Data Vault 2.0: What You Need to Know

Astera

In 2013, Dan Linstedt and Michael Olschimke introduced Data Vault 2.0 as a response to the evolving data management landscape, taking Data Vault 1.0 While maintaining the hub-and-spoke structure of its predecessor, The upgrade introduces new, innovative concepts to enhance its efficiency and adaptability. Data Vault 2.0

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How Data Privacy Laws Impact Companies’ Approach to Cloud Security

Dataversity

Globally, organizations are churning out data in massive volumes for a plethora of reasons. Data enables organizations to speed up innovation, take business-critical decisions confidently, get deep consumer insights, and use all that information to stay ahead of their competitors. However, where does all that data go?

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.