Oracle Internship

How This Internship Will Help Your Career

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What you will learn

Day 1: Introduction to Databases and SQL

  • Overview of databases and their importance
  • Introduction to relational databases and SQL
  • Installing and setting up Oracle Database

Day 2: Basic SQL Queries

  • Retrieving data using SELECT statements
  • Filtering data with WHERE clause
  • Sorting data using ORDER BY clause

Day 3: Data Manipulation with SQL

  • Inserting, updating, and deleting data
  • Modifying data using UPDATE and DELETE statements
  • Understanding transactions and data integrity

Day 4: Joins and Subqueries

  • Joining multiple tables using INNER JOIN, OUTER JOIN, and CROSS JOIN
  • Working with subqueries to solve complex queries
  • Combining multiple queries with UNION, INTERSECT, and MINUS operators

Day 5: Advanced SQL Concepts

  • Aggregating data with GROUP BY and HAVING clauses
  • Using built-in SQL functions (e.g., COUNT, SUM, AVG)
  • Working with date and time functions

Day 6: Introduction to PL/SQL

  • Overview of PL/SQL and its advantages
  • PL/SQL blocks, variables, and data types
  • Writing and executing PL/SQL programs

Day 7: PL/SQL Control Structures

  • Conditional statements (IF-THEN-ELSE, CASE)
  • Loops (FOR, WHILE, and cursor-based loops)
  • Exception handling in PL/SQL

Day 8: PL/SQL Procedures and Functions

  • Creating and calling PL/SQL procedures
  • Creating and calling PL/SQL functions
  • Passing parameters and returning values

Day 9: PL/SQL Cursors and Records

  • Working with implicit and explicit cursors
  • Fetching and manipulating data using cursors
  • Using records to store and process query results

Day 10: PL/SQL Packages

  • Overview of packages and their benefits
  • Creating and using PL/SQL packages
  • Encapsulation and modularity in PL/SQL code

Day 11: Triggers and Constraints

  • Creating and managing triggers in PL/SQL
  • Using triggers to enforce data integrity and implement business logic
  • Defining constraints (e.g., primary key, foreign key, check constraints)

Day 12: Advanced PL/SQL Concepts

  • Dynamic SQL and executing dynamic queries
  • Working with collections (nested tables, associative arrays, and VARRAYs)
  • Implementing error handling and logging in PL/SQL

Day 13: Advanced Database Concepts

  • Views and materialized views
  • Working with sequences and triggers
  • Introduction to database security and user management

Day 14: Performance Tuning and Optimization

  • Understanding SQL and PL/SQL performance tuning
  • Query optimization techniques (indexing, query hints)
  • Identifying and resolving performance bottlenecks

Day 15: Introduction to Advanced Database Concepts

  • Working with XML and JSON data
  • Introduction to database replication and high availability
  • Overview of partitioning and parallel processing

Day 16 to 20: Project Work and Presentation

  • Work on a small project or assignment to apply the learned concepts
  • Prepare a presentation to showcase the project and demonstrate acquired skills
  • Discuss project outcomes and lessons learned