What are the different types of data and their common formats?
- Text data: .txt, .docx, .pdf, .rtf
- Numeric data: integers, decimals, percentages
- Image data: .jpg, .png, .gif, .bmp
- Audio data: .mp3, .wav, .aac
- Video data: .mp4, .avi, .mov
What are the main methods for storing data?
- Local storage: hard drives, SSDs, USB drives
- Cloud storage: Google Drive, OneDrive, Dropbox
- Network storage: servers, NAS devices
- Optical storage: CDs, DVDs, Blu-ray discs
- Magnetic storage: tape drives for archival
What are best practices for organizing and managing files?
- Use clear, descriptive file names with dates
- Create logical folder hierarchies
- Implement consistent naming conventions
- Regular cleanup of duplicate and obsolete files
- Use metadata and tags for easy searching
What are essential data backup and recovery strategies?
- 3-2-1 rule: 3 copies, 2 different media, 1 offsite
- Automated backup scheduling
- Regular testing of backup integrity
- Version control for important documents
- Recovery time objectives and procedures
How can you protect and secure your data?
- Strong passwords and two-factor authentication
- File encryption for sensitive data
- Regular software updates and patches
- Antivirus and anti-malware protection
- Secure data transmission protocols
What are the key concepts in database management?
- Tables, records, and fields structure
- Primary keys and relationships
- Data normalization principles
- SQL queries for data retrieval
- Database integrity and constraints
What are important aspects of data analysis and visualization?
- Data cleaning and preprocessing
- Statistical analysis and trends
- Charts, graphs, and dashboards
- Data interpretation and insights
- Tools: Excel, Tableau, Power BI
What are key considerations for data privacy and compliance?
- Personal data protection regulations
- Data collection consent and transparency
- Right to access, modify, and delete data
- Data retention and disposal policies
- Privacy by design principles
What are best practices for data migration and integration?
- Data mapping and transformation
- ETL processes (Extract, Transform, Load)
- Data quality validation and testing
- Rollback procedures and contingency plans
- API integration and data synchronization
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