ETL Platform

ETL Platform (Extract, Transform, Load) is a platform that manages the processes of extracting data from source systems (extract), transforming it according to business rules (transform), and loading it to a target — usually a data warehouse (load).

The platform cleans and standardizes data coming from different sources, making it reliable for analytics.

Other names / abbreviation: Data Transformation and Transfer, Data Integration.

What is it used for?

The ETL platform transforms scattered and differently formatted data into a consistent, clean, and analyzable form, feeding data warehouse and analytics processes.

Key features

• Data extraction: Collecting data from multiple sources.
• Transformation: Cleaning, standardization, business rules.
• Loading: Loading into the target structure (DWH).
• Scheduling and monitoring: Planning and tracking workflows.

Integration and standards

The ETL Platform does not operate in isolation; it typically exchanges data with the following systems and processes:

• Operational sources (HBYS, LIS)
• Data warehouse
• Business Intelligence (BI)

Commonly referenced standards and regulations:

• KVKK
• Data integration patterns

Benefits provided

• Clean and consistent data
• Automated data flow
• Reliable foundation for analytics

Selection and evaluation criteria

Main criteria considered when evaluating an ETL platform:

• Scope of source/target connections
• Transformation capabilities
• Monitoring and error management

Points to consider

• Transformation rules and data quality should be continuously reviewed.