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Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale.
News
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
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Snowflake updates further goal of being control pane for AI
Agentic capabilities that execute workloads based on natural language prompts and access to new data sources facilitate the vendor's ambition to become a hub for agentic systems.
News
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment.
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How business leaders can make a data-literate culture stick
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Database Management News
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment.
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Data Management Strategies News
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
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Data quality, fast failures and quick wins key to AI success
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Data Governance Manage
Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale.
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Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale.
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Data management strategies
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant.
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Data management strategies
Snowflake updates further goal of being control pane for AI
Agentic capabilities that execute workloads based on natural language prompts and access to new data sources facilitate the vendor's ambition to become a hub for agentic systems.
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Database management
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment.
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