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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.
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.
Manage
8 proactive steps to build trusted data for analytics and AI
Trusted data is even more critical as AI use increases. These eight steps will help data leaders build a strong foundation for effective analytics and AI applications.
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 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.
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Data Integration News
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 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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Virtual Machines
AWS & Red Hat
Simplify App Modernization and Innovation with Red Hat OpenShift Service on AWS
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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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Information Management
PwC customer contact transformation powered by Amazon Connect.
Solving complex service challenges with the right blend of people, process and technology – enabling organisations to move beyond outdated contact centre models and embrace scalable, agile solutions that meet today’s demands.
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Find Solutions For Your Project
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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.
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CDO challenges that hinder data-driven initiatives
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AI data fabric emerges as a governance layer for agents
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Data ontologies are foundational for usable AI outputs
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Problem Solve
8 proactive steps to build trusted data for analytics and AI
Trusted data is even more critical as AI use increases. These eight steps will help data leaders build a strong foundation for effective analytics and AI applications.
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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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8 data integration challenges and how to overcome them
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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
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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
- What is customer data integration (CDI)?
- What is data analytics (DA)?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?
- What is data stewardship?
- What is a pivot table? How to use in Excel and Sheets
- What is Microsoft SSIS (SQL Server Integration Services)?
- What is data quality and why is it important?