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Data modeling is having a moment, and AI is the reason
Data modeling defines how enterprise data is structured and governed, and it has become the foundation for trustworthy AI, cloud migration and compliance.
News
CData aims to simplify AI development with latest features
New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.
News
Latest EnterpriseDB features unify data for AI development
New capabilities address the data sprawl that sometimes stops enterprises from successfully building agents and could help differentiate the vendor from competitors.
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Which data management costs should survive budget cuts?
Tighter budgets force hard choices about data governance. This breakdown of essential data management costs shows where to cut spending and where cuts create risk.
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Data science and analytics News
New Tableau leader talks vendor's evolution in era of AI
With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time of transition for the vendor.
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Database Management News
Actian targets secure, compliant AI with new vector database
The vendor's portable database enables organizations in heavily regulated industries to build AI tools without risking accidental data exposure or regulatory violations.
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Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
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Data Management Strategies News
Latest EnterpriseDB features unify data for AI development
New capabilities address the data sprawl that sometimes stops enterprises from successfully building agents and could help differentiate the vendor from competitors.
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Data Integration News
CData aims to simplify AI development with latest features
New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.
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Data Governance Evaluate
Data modeling is having a moment, and AI is the reason
Data modeling defines how enterprise data is structured and governed, and it has become the foundation for trustworthy AI, cloud migration and compliance.
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Evaluate
Data modeling is having a moment, and AI is the reason
Data modeling defines how enterprise data is structured and governed, and it has become the foundation for trustworthy AI, cloud migration and compliance.
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Which data management costs should survive budget cuts?
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Why enterprise AI depends on the semantic layer
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Context is the make-or-break layer for AI in production
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Problem Solve
8 data integration challenges and how to overcome them
Data integration in modern architectures faces eight challenges, from preserving lineage at scale to serving AI and analytics workloads, each explored with practical strategies.
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Data observability for AI helps curb poor model performance
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10 big data challenges and how to address them
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Data sovereignty expands beyond compliance boundaries
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Manage
Big data integration techniques and best practices to adopt
Data integration in big data systems is even more complex now because of AI. To succeed, it requires a strategy built on new approaches and strong data management.
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Data governance metrics: Measure success, identify issues
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Govern citizen development to avoid data pipeline downtime
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How agentic AI governance tackles data, security challenges
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Data Management/Data Warehousing Basics
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Get Started
Big data integration techniques and best practices to adopt
Data integration in big data systems is even more complex now because of AI. To succeed, it requires a strategy built on new approaches and strong data management.
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Get Started
Context is the make-or-break layer for AI in production
Your AI model might not be the reason it fails in production. Missing or unclear context throws off the model, leading to untrustworthy outputs that the business can't act on.
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Get Started
Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning.
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Data integration
CData aims to simplify AI development with latest features
New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.
-
Data management strategies
Latest EnterpriseDB features unify data for AI development
New capabilities address the data sprawl that sometimes stops enterprises from successfully building agents and could help differentiate the vendor from competitors.
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Data integration
AWS latest to introduce context layer for agentic AI
With context key to agents performing in production, the tech giant's latest new features aim to feed cutting-edge tools the situational awareness they require.
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