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Alation unveils AI agents plus SDK for agentic development
The data catalog vendor's new agents for documentation and data quality monitoring represent innovation among metadata management vendors and could force competitors to respond.
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Teradata unveils vector store to fuel AI development
The longtime data management and analytics vendor's new feature will enable developers to discover the relevant data needed to train business-specific generative AI applications.
Evaluate
AI's appetite for data is changing data requirements
AI relies on high-quality real-time data. Companies that fail to modernize their data strategies risk falling behind, while those that adapt unlock AI's competitive advantage.
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Snowflake adds OpenAI models with Microsoft integration
In a move that adds more model choices for AI developers, models including GPT-4o are now natively available in Cortex AI alongside models from Anthropic, Meta, Mistral and others.
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Data science and analytics Get Started
Develop data literacy skills to advance your career
Data literacy skills are the foundation of data-driven decision-making. Identify your current skill level and learn what you must improve to better use data in your work.
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Database Management News
Pinecone provides Assistant for generative AI development
The vector database specialist is expanding beyond managing data with a suite of APIs and other tools that enable users to tap into their data to create chatbots and agents.
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Data Warehousing News
Oracle Exadata update boosts performance to meet AI needs
With database workloads growing due to the demands of AI development and real-time analytics, the tech giant's latest database infrastructure update focuses on efficiency.
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Data Management Strategies News
Qdrant update adds security measures for AI development
The vector database specialist's update includes features that enable secure AI development such as role-based access control and an API for managing cloud deployments.
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Data Integration News
Alation unveils AI agents plus SDK for agentic development
The data catalog vendor's new agents for documentation and data quality monitoring represent innovation among metadata management vendors and could force competitors to respond.
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Data Governance Manage
AI data governance is a requirement, not a luxury
Data governance is the backbone of any data initiative. Properly managing the new data risks and regulations of AI technologies requires the addition of AI data governance.
Sponsored Sites
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Collaboration
Increase Productivity with a Scalable Collaboration Solution
Learn how Slack offers significant advantages in scalability, security, platform depth and integrations, engagement, and shared channels are valued by organisations when undertaking digital transformation initiatives.
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Storage
Benefit From the Power of Consolidated Storage
Learn how a consolidated approach to storage can modernize your storage which will increase efficiency and can decrease costs.
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Digital Migration
Migrate Off CentOS Linux With Confidence
CentOS Project will discontinue updates and releases of CentOS Linux® version 7 leaving many organizations to have to plan for a migration. Learn how easy it is to convert from CentOS to Red Hat Enterprise Linux on AWS.
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AI's appetite for data is changing data requirements
AI relies on high-quality real-time data. Companies that fail to modernize their data strategies risk falling behind, while those that adapt unlock AI's competitive advantage.
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Turning data into a strategic advantage
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18 top data catalog software tools to consider using in 2025
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18 top big data tools and technologies to know about in 2025
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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Addressing 10 data governance challenges is necessary to avoid financial loss and reputation damage.
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6 dimensions of data quality boost data performance
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Data lake governance: Benefits, challenges and getting started
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7 steps to create a data loss prevention policy
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Manage
AI data governance is a requirement, not a luxury
Data governance is the backbone of any data initiative. Properly managing the new data risks and regulations of AI technologies requires the addition of AI data governance.
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Top trends in big data for 2025 and beyond
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Human oversight enables automated data governance
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NoSQL database types explained: Key-value store
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Data Management/Data Warehousing Basics
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Get Started
What is data transformation? Definition, types and benefits
Data transformation is the process of converting data from one format -- such as a database file, Extensible Markup Language document or Excel spreadsheet -- into another.
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Get Started
What is data egress? How it works and how to manage costs
Data egress is when data leaves a closed or private network and is transferred to an external location.
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Get Started
Noninvasive data governance offers friendly approach
Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as components of a governance program.
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Data management strategies
Qdrant update adds security measures for AI development
The vector database specialist's update includes features that enable secure AI development such as role-based access control and an API for managing cloud deployments.
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Data integration
Alation unveils AI agents plus SDK for agentic development
The data catalog vendor's new agents for documentation and data quality monitoring represent innovation among metadata management vendors and could force competitors to respond.
-
Data integration
Teradata unveils vector store to fuel AI development
The longtime data management and analytics vendor's new feature will enable developers to discover the relevant data needed to train business-specific generative AI applications.
Search Data Management Definitions
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- What is data egress? How it works and how to manage costs
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