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Relational Databases

Track :

Programming

Lessons no : 99

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What will you learn in this course?
  • Master SQL query writing for relational databases including SELECT, JOIN, and subqueries for data retrieval and manipulation
  • Design and implement normalized database schemas using best practices for relational database efficiency and integrity
  • Configure and manage Microsoft SQL Server, Oracle Database, MySQL, and IBM DB2 for optimal performance and security
  • Utilize cloud-based database services like Database as a Service (DBaaS) for scalable, cost-effective database deployment and maintenance
  • Apply data modeling techniques to develop accurate and efficient relational database structures for real-world applications
  • Perform database backup, recovery, and security management to protect data integrity and confidentiality
  • Optimize SQL queries and database performance through indexing, query tuning, and resource management
  • Implement transaction management and concurrency control to ensure data consistency and reliability in multi-user environments
  • Use database administration tools to monitor, troubleshoot, and maintain relational database systems effectively
  • Develop and execute data migration strategies between different relational database platforms
  • Understand the principles of relational database design, including normalization and denormalization techniques
  • Integrate relational databases with applications using APIs, stored procedures, and data access layers
  • Evaluate the advantages and limitations of cloud-based relational databases versus on-premises solutions
  • Apply best practices for database security, including user roles, permissions, and encryption techniques
  • Create and manage database users, roles, and permissions to enforce security policies
  • Implement data integrity constraints and validation rules to ensure high-quality, accurate data storage

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Lessons | 99
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databases include Microsoft SQL Server, Oracle Database, MySQL and IBM DB2. Cloud-based relational databases, or database as a service, are also widely used because they enable companies to outsource database maintenance, patching and infrastructure support requirements.