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Working With PostgreSQL

Track :

Programming

Lessons no : 42

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What will you learn in this course?
  • Master SQL query writing for PostgreSQL to retrieve, update, and delete data efficiently using SELECT, INSERT, UPDATE, and DELETE statements
  • Design and optimize PostgreSQL database schemas, including tables, indexes, and relationships for performance and scalability
  • Implement data normalization and denormalization techniques to ensure data integrity and reduce redundancy in PostgreSQL databases
  • Utilize PostgreSQL-specific features such as JSON support, window functions, and Common Table Expressions (CTEs) for advanced data analysis
  • Configure and manage PostgreSQL database instances, including user roles, permissions, and security best practices
  • Perform database backups, restores, and disaster recovery procedures to ensure data safety and availability
  • Apply indexing strategies and query optimization techniques to improve database performance and reduce query execution time
  • Develop and maintain stored procedures, functions, and triggers to automate tasks and enforce data consistency
  • Monitor PostgreSQL database health using built-in tools and third-party solutions for proactive maintenance
  • Implement data migration and integration techniques to transfer data between PostgreSQL and other systems seamlessly
  • Troubleshoot common PostgreSQL issues related to performance, connectivity, and data corruption effectively
  • Leverage PostgreSQL extensions and community resources to enhance database functionality and support advanced use cases

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Lessons | 42
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PostgreSQL is a relational database. It stores data points in rows, with columns as different data attributes. A table stores multiple related rows. The relational database is the most common type of database in use.