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Snowflake fuels edtech vendor's data and AI initiatives
PowerSchool is creating personalized educational experiences for teachers, students, parents, administrators and others by using its data to train AI tools.
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Snowflake partners with Anthropic to improve AI development
The alliance aims to make it easier and faster for the data cloud vendor's customers to use the Claude line of large language models when developing advanced applications.
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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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Alteryx adds tools for cloud, hybrid analytics deployments
The vendor's update includes new data preparation and blending tools, improved interoperability with data warehouses and the preview of AI-powered insight generation capabilities.
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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.
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Database Management Get Started
NoSQL database types explained: Column-oriented databases
Learn about the uses of column-oriented databases and the large data model, data warehouses and high-performance querying benefits the NoSQL database brings to organizations.
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Data Warehousing Evaluate
On-premises vs. cloud data warehouses: Pros and cons
Data warehouses increasingly are being deployed in the cloud. But both on-premises and cloud data warehouses have pluses and minuses to consider, as explained here.
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Data Management Strategies News
How to get data ready for AI development
Factors including a combination of commitment to data quality, proper technology and pertinent processes are key to preparing data for feeding models and applications.
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Data Integration News
Snowflake unveils AI development, security capabilities
The vendor's latest includes additions to Cortex AI that simplify developing conversational AI tools and new security measures after its environment was infiltrated in May.
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Data Governance 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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Vectorized data uses see resurgence with generative AI
Advancements in generative AI are driving renewed interest in vector databases. Organizations have also found new uses for the established technology.
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Metadata management tools: 9 top options to fulfill key needs
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Generative AI shines spotlight on data governance and trust
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Cloud database comparison: AWS, Microsoft, Google and Oracle
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6 dimensions of data quality boost data performance
Poor data quality can lead to costly mistakes and bad decision making. The six dimensions of data quality ensure accurate, complete, consistent, timely, valid and unique data.
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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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6 data privacy challenges and how to fix them
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NoSQL database types explained: Key-value store
Utilizing a key-value store can improve data processing speeds and scalability for data operations that do not require complex queries or analytics.
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Top 5 metadata management best practices
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Understand Microsoft Copilot security concerns
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Data Management/Data Warehousing Basics
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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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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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What is data?
In computing, data is information translated into a form that is efficient for movement or processing.
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Data management strategies
How to get data ready for AI development
Factors including a combination of commitment to data quality, proper technology and pertinent processes are key to preparing data for feeding models and applications.
-
Data management strategies
Snowflake fuels edtech vendor's data and AI initiatives
PowerSchool is creating personalized educational experiences for teachers, students, parents, administrators and others by using its data to train AI tools.
-
Data management strategies
Snowflake partners with Anthropic to improve AI development
The alliance aims to make it easier and faster for the data cloud vendor's customers to use the Claude line of large language models when developing advanced applications.
Search Data Management Definitions
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