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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

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DDN Nabs $300M From Blackstone As AI Keeps Data Storage Hot

Crunchbase News

Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. Big money Of course this is far from the only play the Blackstone Group has made in the data sector.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

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Vast Data lands $118M to grow its data storage platform for AI workloads

TechCrunch

Vast Data, to make an obvious pun, is raising vast sums of cash. The New York-based startup, which provides a scale-out, unstructured data storage solution designed to eliminate tiered storage (i.e.

Storage 265
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The Week’s Biggest Funding Rounds: Data Storage And Lots Of Biotech

Crunchbase News

DDN , $300M, data storage: Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. billion to develop data centers in Spain.

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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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See clearly, spend wisely: The power of data platform observability

Xebia

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The result? Yet, this flexibility comes with risks.

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