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How MetadataHub Works

MetadataHub revolutionizes how organizations handle unstructured data by transforming it into usable, actionable information. It extracts, processes, and harmonizes metadata from diverse file types across on-premise and cloud storage sources, enabling faster and more informed decision-making.

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Metadata Extraction and Organization

MetadataHub uses advanced harvesters to extract metadata, including embedded metadata, from hundreds of unique file types stored in systems like SMB, NFS, and S3. Its specialized extractors:

  • Analyze text, audio, and images to generate both content and contextual insights.
  • Capture application-specific and machine-generated metadata, providing a comprehensive view of the data landscape.
  • Federate data across both on-premise and cloud storage sources to deliver a unified and organized metadata repository.

Metadata Extraction and Organization

MetadataHub uses advanced harvesters to extract metadata, including embedded metadata, from hundreds of unique file types stored in systems like SMB, NFS, and S3. Its specialized extractors:

  • Analyze text, audio, and images to generate both content and contextual insights.
  • Capture application-specific and machine-generated metadata, providing a comprehensive view of the data landscape.
  • Federate data across both on-premise and cloud storage sources to deliver a unified and organized metadata repository.

Rich Search, Query Capabilities, and Data Enrichment

  • Global Search: Search across all unstructured data sources, accessing deep insights into both content and context.
  • Advanced search features: Quickly find relevant data using no-code/low-code tools.
  • Query Options: Access metadata via WebUI, CLI, GraphQL, and Python SDK, allowing interaction without requiring IT support.
  • Data Enrichment: MetadataHub feeds metadata to downstream applications like AI models, data lakes, and analytics tools enhancing data quality, provenance, and accelerating analysis.

Provisioning Data for Analytics, Data Lakes, and AI/ML

MetadataHub seamlessly integrates with external systems, provisioning metadata to:

  • Data Lakes: Ensures that high-quality, enriched metadata flows directly into data lakes for better storage and analysis.
  • Analytics Tools: Provides rich metadata insights that enhance analytics tools, improving their output and accuracy.
  • AI/ML Models: Feeds structured metadata into AI and ML models, enhancing their performance and the insights they generate.

This integration accelerates data preparation, analysis, and enables automated workflows, ensuring faster delivery of insights to downstream applications.

Deployment and Integration

Deployed as a Docker container, MetadataHub connects to NFS, CIFS, and S3 with read-only permissions. It allows for:

  • Federating data from diverse sources to create a global metadata repository.
  • Automating workflows and provisioning data pipelines, streamlining integration with other applications and tools.
  • Provisioning metadata to improve productivity and reduce data preparation times.

Optimizing Data Management and Storage

MetadataHub amplifies HSM and data orchestration systems, bringing a new level of intelligence and granularity to policy-making by making these solutions content and context-aware. This enhancement supports:

  • Data Tiering: Aligning storage environments based on both the content and contextual value of data, maximizing cost-efficiency.
  • Data Products: Delivering data products rapidly by leveraging enriched metadata to support faster insights and workflows.
  • Archiving: Efficiently managing long-term data retention by understanding the intrinsic and contextual value of stored data.
  • Lifecycle Management: Automating storage decisions based on the content, value, and lifecycle of the data to ensure optimal storage usage.

Comprehensive Data Visibility and Reporting

MetadataHub integrates with third-party reporting tools or uses its native graphic reporting features to provide a complete view of the organization’s data landscape. This allows users to:

  • Monitor and analyze data usage across all storage systems.
  • Generate custom reports and visualizations to enhance data governance and utilization.
  • Use integrated reporting capabilities to streamline data visibility and optimize decision-making processes.

Scalability and Flexibility

MetadataHub is built for large-scale data operations, allowing organizations to:

  • Manage billions of files efficiently across on-premise, cloud, or hybrid environments.
  • Seamlessly integrate with third-party systems and tools, ensuring flexibility for diverse data management needs.
  • Scale out by adding more MetadataHub cores to meet performance requirements.

Metadata Advisor: Unlock the Full Potential of Your Metadata with AI

The Metadata Advisor is an intuitive, AI-powered feature within MetadataHub designed to help users navigate and leverage metadata across various domains. As a chat-based lexicon, Metadata Advisor allows users to ask questions and engage in discussions about metadata tags, ranges, and usage. It provides explanations, advice, and contextual insights, enabling users to better understand and apply metadata for their specific needs.

Deciphering Data Context Across Domains

The Metadata Advisor enhances the use of metadata within MetadataHub, maximizing the value of unstructured data across specialized domains. Researchers and professionals can interact with the Advisor to gain deeper insights into how to use and understand metadata tags. It serves as an essential tool for:

  • Genomic Data
  • Environmental Sensors
  • Medical Imaging
  • Microscopy
  • Bioinformatics
  • Astrophysics
  • Climate/Weather Data
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Watch: Metadata Advisor

Key Features and Capabilities

  • Chat-Based Metadata Lexicon: Engage in real-time discussions about metadata tags with the Metadata Advisor. It explains tag ranges, guides on the usage of specific tags, and provides detailed insights into metadata, enabling researchers to optimize their workflows.
  • Metadata and Content Augmentation: Automatically generates semantic descriptions for files, metadata, and content, making complex metadata attributes easier to understand and apply.
  • Application-Specific Descriptions: Offers tailored, intelligent interpretations of metadata attributes for specialized data types, enhancing data quality and accessibility.
  • Flexible Deployment: Supports both local and cloud deployment, catering to privacy, security, and performance requirements.

Key Benefits

  • Specialized Insights: Provides expert, tailored analysis of metadata, helping users across specialized fields understand and interpret complex metadata attributes.
  • Informed Decision-Making: Offers in-depth guidance and suggestions on how to effectively use metadata tags, leading to improved research outcomes, better data management, and enhanced compliance with industry standards.

Discover how intelligent metadata management can transform your research and operations.

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