Extract, Transform, Load (ETL) Processes and Data Integration

4 hours

Duration

Materials

Objectives

Session Overview

Advanced ETL development including data extraction techniques, transformation logic, loading strategies, error handling, and performance optimization for large-scale data integration.

Learning Objectives

By the end of this session, you should be able to:

Design and implement complex ETL workflows using industry-standard tools
Master data extraction techniques from various source systems
Apply data transformation rules, business logic, and data validation
Implement incremental loading and change data capture (CDC) strategies
Design error handling, logging, and monitoring systems for ETL processes
Optimize ETL performance for large-volume data processing

Course Materials

Download materials for offline study and reference

ETL Development Complete Manual (75 pages)

Available material

ETL Tool Tutorials (SSIS, Informatica, Talend)

Available material

Data Transformation Logic Design Patterns

Available material

Change Data Capture Implementation Guide

Available material

ETL Performance Optimization Techniques

Available material

Error Handling and Recovery Strategies

Available material

ETL Monitoring and Logging Framework

Available material

Large-Scale Data Integration Project Examples

Available material