Data Loss Prevention and Management

Data Loss Prevention

• Power outages can lead to data loss if processes are interrupted.
• Solutions include UPS systems and redundant power supplies.
• Human errors, like accidental deletion or incorrect input, can cause data loss.
• Mitigation includes limiting user editing access, using audit trails, and data validation.
• Malware can corrupt data.
• Protective measures include firewalls, anti-malware software, and employee training.
• SQL injection attacks exploit vulnerabilities in databases.
• Prevent by validating data, using user interfaces that restrict input, and avoiding detailed error messages.

Data Issues

• Outdated data occurs from using past data or not keeping records current.
• Inaccurate or invalid data has improper formats.
• Solutions include using data validation and graphical user interfaces to control input.

Data Storage and Management

• Data storage options include local and remote systems.
• Synchronized data ensures files are up to date across multiple devices.
• Extract, transform, and load (ETL) processes move transaction data to data warehouses.
• Multidimensional database systems store and manage data.
• Data access is provided to analysts and IT professionals.