Extract, Load, Transform (ELT)
A data processing method where data is extracted from various sources, loaded, and then transformed.
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityAdvanced
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Data Integrity Risks
- High Resource Costs
- Data Loss During Migration
- Regularly review data sources.
- Create documentation for processes.
- Enable automation for frequent tasks.
I/O & resources
- Identify Data Sources
- Set Access Rights
- Check System Configuration
- Transformed Data
- Analytical Insights
- Real-Time Reporting
Description
ELT is an approach to data integration that allows for efficient processing of large volumes of data. After loading the data into a target system, the transformation occurs, providing flexibility in analysis and reporting.
✔Benefits
- Increased Data Availability
- Better Decision-Making
- Cost Efficiency
✖Limitations
- Complexity in Implementation
- Dependency on Infrastructure
- Potential Performance Issues
Trade-offs
Metrics
- Data Load Time
Time taken to load data into the target system.
- Data Quality Assessment
Assessment of the integrity and accuracy of the loaded data.
- System Availability
Availability rate of the involved systems during data processing.
Examples & implementations
Data Transfer in a Large Retailer
A large retailer uses ELT to aggregate sales data daily.
Financial Data Analysis
A financial service provider uses ELT to analyze market trends.
Data Integration for an E-commerce Company
An e-commerce company integrates data from various sales platforms.
Implementation steps
Analyze data sources.
Perform preparatory actions.
Implement ELT process.
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated Technologies
- Lack of Documentation
- Missing Best Practices
Known bottlenecks
Misuse examples
- Storing Data Without Transformation
- Using Unauthorized Data Sources
- Skipping Required Steps in the Process
Typical traps
- Faulty Data Integration
- Lack of Testing Before Production
- Unrealistic Timelines for Implementation
Required skills
Architectural drivers
Constraints
- • Operating System Dependent Services
- • Compliance Requirements
- • Data Format Standards