Develop a comprehensive, technical guide for advanced database administrators on ensuring data integrity, focusing on best practices for data validation, normalization, and backup procedures. Include practical examples and scenarios to illustrate each concept. Outline a step-by-step process for identifying and resolving data inconsistencies, incorporating sophisticated database management principles.** The guide should cover:** ## 1.** Data Validation:** Strategies for ensuring data accuracy and consistency upon entry. ## 2.** Data Normalization:** Techniques for organizing data to minimize redundancy and dependency. ## 3.** Backup Procedures:** Methods for creating regular, secure backups to prevent data loss. ## 4.** Identifying Data Inconsistencies:** A systematic approach to detecting errors or inconsistencies. ## 5.** Resolving Data Inconsistencies:** Step-by-step instructions for correcting identified issues. ## 6.** Creating a Robust Database Maintenance Plan:** A framework for implementing the outlined strategies to guarantee data integrity and minimize data loss. Ensure the guide is tailored to advanced users seeking in-depth strategies for maintaining high-quality data.