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Data

The Data section allows you to connect, manage, and leverage various data sources within Mamentis, enabling AI models to access and analyze your information seamlessly.

Data Source Types​

Databases​

  • SQL Databases: PostgreSQL
  • NoSQL Databases: MongoDB
  • Vector Databases: Milvus, Qdrant
  • Data Warehouses: coming soon
  • Time Series: coming soon

File Systems​

  • Cloud Storage: AWS S3, Google Cloud Storage, Azure Blob
  • File Shares: SMB, NFS, FTP
  • Version Control: Git repositories, SVN
  • Content Management: SharePoint, Confluence

APIs and Services​

  • REST APIs: Custom and third-party services
  • GraphQL: Modern API integrations
  • Webhooks: Real-time data updates
  • SaaS Platforms: Salesforce, HubSpot, Slack

Data Management​

Data Discovery​

  • Schema Detection: Automatic table/field discovery
  • Data Profiling: Statistical analysis of data quality
  • Relationship Mapping: Identify foreign keys and relationships
  • Sample Generation: Create representative data samples

Data Transformation​

  • ETL Pipelines: Extract, Transform, Load workflows
  • Data Cleaning: Handle missing values, duplicates
  • Format Conversion: JSON, CSV, Parquet, etc.
  • Aggregation: Summary statistics and grouping

Data Security​

  • Encryption: Data encrypted in transit and at rest
  • Access Controls: Role-based data access
  • Data Masking: Hide sensitive information
  • Audit Logging: Track all data access

Working with Data​

Querying Data​

Natural language queries powered by AI:

"Show me sales data for the last quarter"
"Find customers who haven't made a purchase in 6 months"
"What are the top performing products by revenue?"

Data Analysis​

AI-powered insights:

  • Trend Analysis: Identify patterns over time
  • Anomaly Detection: Spot unusual data points
  • Correlation Analysis: Find relationships between variables
  • Predictive Modeling: Forecast future trends

Data Visualization​

Generate charts and graphs:

  • Automatic Visualization: AI suggests appropriate chart types
  • Interactive Dashboards: Drill-down capabilities
  • Export Options: PNG, PDF, SVG formats
  • Embedding: Share visualizations in reports

Real-time Data​

Streaming Integration​

  • Kafka: Real-time event streams
  • Kinesis: AWS streaming service
  • Pub/Sub: Google Cloud messaging
  • Event Hubs: Azure event ingestion

Live Dashboards​

  • Real-time Updates: Data refreshed automatically
  • Alert Systems: Notifications for threshold breaches
  • Performance Monitoring: Track key metrics
  • Operational Intelligence: Live business insights

Data Governance​

Privacy and Compliance​

  • GDPR Compliance: European data protection
  • CCPA Compliance: California privacy rights
  • Data Retention: Configurable retention policies
  • Right to Deletion: Automated data removal

Quality Management​

  • Data Validation: Rules and constraints
  • Quality Metrics: Completeness, accuracy scores
  • Error Detection: Automated issue identification
  • Quality Reports: Regular data health assessments

Best Practices​

Performance Optimization​

  • Indexing: Optimize database queries
  • Caching: Reduce repeated data fetches
  • Partitioning: Divide large datasets
  • Compression: Reduce storage and transfer costs

Security Guidelines​

  • Least Privilege: Minimal necessary access
  • Regular Audits: Review access patterns
  • Encryption Keys: Proper key management
  • Network Security: VPN and firewall protection

Data Integration​

  • Incremental Updates: Only sync changed data
  • Error Handling: Robust failure recovery
  • Monitoring: Track integration health
  • Documentation: Maintain data lineage

Continue to Knowledge management for organizing your information assets.