New & Notable
Evaluate
How data mesh supports AI-ready data architectures
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data challenge.
Manage
AI doesn't need an unstructured data dump -- move what matters
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs.
Evaluate
The 5 pillars of data observability
Data observability provides complete oversight of an organization's data pipeline. Use the 5 pillars of data observability to ensure efficient, accurate data operations.
News
New Oracle AI database targets cost, data residency concerns
The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers.
Trending Topics
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Data science and analytics News
Qlik launches data engineering tools to aid AI development
New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals.
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Database Management News
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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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 Evaluate
How data mesh supports AI-ready data architectures
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data challenge.
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Data Integration Manage
AI doesn't need an unstructured data dump -- move what matters
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs.
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Data Governance Evaluate
Data governance fails without CFO ownership
Without CFO ownership, data governance stays underfunded and unenforceable. Finance leadership ties governance to audit controls and budget accountability.
Sponsored Sites
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Intelligent Agreement Management
Accelerate revenue, reduce risk and unlock value
Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
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Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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Virtual Machines
AWS & Red Hat
Simplify App Modernization and Innovation with Red Hat OpenShift Service on AWS
Featured Authors
Find Solutions For Your Project
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Evaluate
How data mesh supports AI-ready data architectures
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data challenge.
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The 5 pillars of data observability
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Data governance fails without CFO ownership
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CDO challenges that hinder data-driven initiatives
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Problem Solve
AI doesn't need an unstructured data dump -- move what matters
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs.
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8 proactive steps to build trusted data for analytics and AI
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How governance as code controls AI agent risk
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AI agents push enterprises toward unified data governance
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Manage
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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How to use AI to enforce data governance policies
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AI agent failures offer hidden value for enterprises
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Why Apache Iceberg is the center of attention in data platforms
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Data Management/Data Warehousing Basics
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Get Started
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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Get Started
Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
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Get Started
How to use AI to enforce data governance policies
AI models and agents can automate data governance policy enforcement for proactive governance in dynamic data environments. But don't forget the human element.
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Vendor Resources
- Cut through complexity with the visibility and adaptive power of Splunk on ... –Product Overview
- Build to adapt: the foundation of digital resilience –Product Overview
- Annual Threat Report –White Paper
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News
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Data management strategies
New Oracle AI database targets cost, data residency concerns
The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers.
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Data integration
Zilliz ups vector search results with Milvus database update
Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.
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Data management strategies
Regatta Data launches unified base for AI with RegattaDB
The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.
Search Data Management Definitions
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