The Data Transformation Manager (DTM) process is a core component of Informatica PowerCenter's architecture, responsible for the actual execution of data integration tasks defined in mappings and sessions. It's the engine that drives the movement and transformation of data.
Here's a breakdown of the DTM process:
Core Functionality :
- Execution Engine:
- The DTM process is the runtime engine that executes the data flow defined in a mapping.
- It reads data from source systems, applies transformations, and writes data to target systems.
- Data Processing:
- It handles all aspects of data processing, including:
- Reading data from sources.
- Applying transformations (e.g., filtering, sorting, joining, aggregating).
- Managing data caching.
- Writing data to targets.
- It manages the data flow, and the processing of the data, row by row, through the mapping.
- Session Execution:
- When you run a session in Informatica PowerCenter, the Integration Service creates a DTM process to execute the session.
- The DTM process uses the session's configuration settings to determine how to process the data.
- Transaction Management:
- The DTM process manages transaction boundaries, ensuring data consistency.
- It handles commit and rollback operations.
- Error Handling:
- It detects and handles errors that occur during data processing.
- It generates session logs that record error messages and other diagnostic information.
- Partitioning:
- When a session is partitioned, the DTM process creates multiple threads to process the data in parallel.
- Caching:
- The DTM process is responsible for managing the caching of data for lookup and aggregator transformations.
Key Characteristics :
- Runtime Component:
- It's a runtime process that executes during session execution.
- Data Flow Execution:
- It's the engine that drives the execution of the data flow defined in a mapping.
- Resource Management:
- It manages resources such as memory, CPU, and disk I/O.
