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Data Persistence Programming

Track :

Programming

Lessons no : 51

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What will you learn in this course?
  • Master how to implement data persistence using various storage technologies like databases and file systems
  • Design reliable data storage solutions ensuring data stability and integrity in software applications
  • Apply best practices for securing persistent data against unauthorized access and data breaches
  • Develop strategies for efficient data retrieval and management in persistent storage systems
  • Evaluate different data persistence frameworks and select appropriate solutions for specific project needs
  • Implement data backup and recovery procedures to prevent data loss and ensure business continuity
  • Optimize data persistence processes for performance, scalability, and stability in large-scale applications
  • Integrate persistent data storage seamlessly with application workflows and user interfaces
  • Troubleshoot common issues related to data persistence, including corruption, inconsistency, and access errors
  • Utilize version control and data migration techniques to manage persistent data evolution over time
  • Understand legal and ethical considerations in storing and managing persistent data
  • Create comprehensive documentation for persistent data systems to facilitate maintenance and compliance

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Lessons | 51
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Persistent data is static and does not change with time (not dynamic). Persistent data stores core information. For example, an organization's financial data must be persistent. Persistent data cannot be deleted by external processes or objects until the user deletes it, meaning it's stable .