/Oracle_DB

Here's a comprehensive topics what I learned in oracle DB

Roadmap to master Oracle db

  1. SQL Basics: Understanding SQL syntax, data types, operators, functions, and clauses (e.g., SELECT, INSERT, UPDATE, DELETE, WHERE, GROUP BY, ORDER BY, etc.).
  2. Data Definition Language (DDL): Creating, modifying, and dropping database objects like tables, indexes, views, sequences, and synonyms.
  3. Data Manipulation Language (DML): Inserting, updating, deleting, and querying data in tables using SQL statements.
  4. Data Query Language (DQL): Writing SELECT queries to retrieve data from one or multiple tables, including joins, subqueries, and set operators.
  5. Transaction Control: Managing database transactions using COMMIT, ROLLBACK, SAVEPOINT, and SET TRANSACTION statements.
  6. Constraints: Defining constraints such as NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK constraints to enforce data integrity.
  7. Indexes: Creating and managing indexes to improve query performance by speeding up data retrieval operations.
  8. Views: Creating and managing virtual tables (views) based on SELECT queries to simplify complex queries and enhance security.
  9. Stored Procedures and Functions: Writing and executing stored procedures and functions to encapsulate business logic within the database for reuse and maintainability.
  10. Triggers: Creating and managing database triggers to automatically execute actions in response to specific database events.
  11. Database Security: Managing user accounts, roles, and privileges to control access to database objects and ensure data security.
  12. Backup and Recovery: Performing database backups and restoring data in case of failures using tools like RMAN (Recovery Manager).
  13. Performance Tuning: Optimizing SQL queries, indexing strategies, and database configuration settings to improve query performance and scalability.
  14. Database Monitoring and Management: Monitoring database performance, managing resources, and diagnosing and resolving performance issues.
  15. High Availability and Scalability: Implementing features like Oracle RAC (Real Application Clusters) and Oracle Data Guard to achieve high availability and scalability.
  16. Data Warehousing and Business Intelligence: Designing and building data warehouses, ETL (Extract, Transform, Load) processes, and business intelligence solutions using tools like Oracle OLAP, Oracle Warehouse Builder, and Oracle BI.
  17. Partitioning: Partitioning large tables and indexes to improve manageability, performance, and availability.
  18. Spatial and Graph Data: Storing and querying spatial and graph data for applications like GIS (Geographic Information Systems) and social network analysis.
  19. JSON Support: Working with JSON (JavaScript Object Notation) data, including storing, querying, and manipulating JSON documents in the database.
  20. Multitenant Architecture: Understanding Oracle's multitenant architecture for managing multiple pluggable databases within a single container database.
  21. Cloud Deployment and Management: Deploying and managing Oracle databases in the cloud using Oracle Cloud Infrastructure (OCI) or Oracle Autonomous Database services.