IBM Db2 course in Mianwali

IBM Db2 Course Overview

1. Introduction to Db2

• History and Evolution: Understanding the development of Db2 over the years and its role in enterprise data management.
• Architecture: Overview of the Db2 architecture, including instances, databases, and tablespaces.
• Editions and Variants: Differences between Db2 editions (e.g., Db2 for z/OS, Db2 for LUW) and their respective use cases.

2. Db2 Installation and Configuration

• Installation: Step-by-step guide to installing Db2 on various platforms (Linux, UNIX, Windows).
• Configuration: Setting up and configuring Db2 instances, databases, and user environments.
• Tools: Introduction to Db2 administration tools and utilities.

3. Database Design and Modeling

• Schema Design: Designing schemas, tables, and relationships.
• Normalization: Concepts of normalization and denormalization.
• Indexes and Constraints: Creating and managing indexes and constraints to optimize performance and maintain data integrity.

4. SQL Programming

• Basic SQL: Writing and executing basic SQL queries (SELECT, INSERT, UPDATE, DELETE).
• Advanced SQL: Using complex queries, subqueries, and joins.
• Stored Procedures and Triggers: Creating and managing stored procedures and triggers to automate and streamline tasks.

5. Performance Tuning and Optimization

• Query Optimization: Techniques for optimizing SQL queries and understanding execution plans.
• Indexing Strategies: Best practices for indexing to improve query performance.
• Resource Management: Managing and tuning system resources for optimal performance.

6. Backup and Recovery

• Backup Strategies: Different backup methods (full, incremental) and their use cases.
• Recovery Procedures: Steps to recover databases from various types of failures.
• Disaster Recovery Planning: Planning and implementing disaster recovery strategies.

7. Security and User Management

• Access Control: Managing user roles and permissions.
• Data Encryption: Implementing encryption for data at rest and in transit.
• Auditing: Setting up auditing to track access and changes to data.

8. Data Warehousing and Analytics

• Data Warehousing Concepts: Understanding data warehousing and how Db2 supports it.
• Data Analysis: Using Db2 features for data analysis and reporting.
• Integration with BI Tools: Integrating Db2 with business intelligence and analytics tools.

9. High Availability and Scalability

• High Availability Solutions: Configuring and managing high availability features (e.g., HADR).
• Scalability: Techniques for scaling Db2 databases to handle growing data volumes and user loads.

10. Advanced Features and New Developments

• Latest Features: Exploring new features and enhancements in the latest Db2 versions.
• Cloud Integration: Using Db2 in cloud environments and understanding its cloud offerings.
• Machine Learning and AI: Leveraging Db2 for machine learning and AI applications.

Course Format

• Lectures and Readings: Comprehensive lectures covering theoretical and practical aspects.
• Hands-On Labs: Practical exercises and labs to apply concepts in real-world scenarios.
• Assignments and Projects: Individual or group projects to reinforce learning.
• Exams and Quizzes: Assessments to test knowledge and skills.

Target Audience

• Database Administrators: Professionals managing Db2 databases.
• Developers: Individuals writing applications that interact with Db2.
• IT Managers: Managers overseeing database systems and infrastructure.
• Data Analysts: Analysts working with data stored in Db2 databases.

Prerequisites

• Basic knowledge of relational database concepts.
• Familiarity with SQL (Structured Query Language) is often recommended.