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Data Operations

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Written by Shaunak Pusalkar
Updated over 9 months ago
  • Data Management

  1. Supported Data Formats and Integration Options
    The platform supports various file formats, including CSV, JSON, PDF, and PPT etc. Integration with third-party tools (e.g., cloud storage services) allows seamless data exchange.

  2. Data Import/Export Procedures
    Users can bulk upload structured/unstructured data, perform partial exports, and enable real-time synchronization with external databases. The import module includes validation checks to ensure data integrity.

  3. Batch Processing Capabilities
    The system supports scheduled batch operations for processing large datasets. Users can define job execution times, monitor progress, and set up automated workflows for repetitive tasks.

  4. Data Validation and Quality Checks
    Automated validation rules ensure that imported data meets predefined quality standards. Manual verification tools allow users to review anomalies, correct errors, and reprocess faulty records.

  • Security Protocols

  1. Data Access Control Implementation
    The platform enforces role-based access control (RBAC) with permission layers. Admins can determine their level of access and editing privileges.

  2. Version Control and Audit Trails
    Every data modification is tracked with timestamped logs. Users can view revision history, restore previous versions, and monitor changes made by team members.

  3. Backup Procedures and Disaster Recovery
    Automated daily backups ensure data redundancy. In case of system failure or data loss, a disaster recovery plan enables quick restoration of critical information.

  4. Compliance and Security Best Practices
    The platform adheres to industry standards such as SOC2, ISO 27001, CCPA and GDPR. Security measures include data encryption, access logging, and multi-factor authentication (MFA) to protect sensitive information.

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