Informatica Cloud: Creating Mapping Tasks & Supported Transformations

Informatica Cloud is a cloud-based integration platform offered by Informatica Corporation, which provides a wide range of capabilities for data integration, data quality, and data management in the cloud. In Informatica Cloud, transformations and mapping tasks are fundamental components used for data integration and ETL (Extract, Transform, Load) processes. - Informatica Cloud Online Training

Here's an overview of how they work:

1. Mapping Designer:

   - In Informatica Cloud, the Mapping Designer is the graphical interface where developers design data integration processes.

   - Developers can create mappings by dragging and dropping objects onto the design canvas and connecting them to define data flows.

2. Source and Target Objects:

   - Source objects represent the data sources from which data will be extracted, such as databases, files, or cloud applications.

   - Target objects represent the destinations where transformed data will be loaded, such as databases, data warehouses, or cloud storage.

3. Transformations:

   - Transformations are operations applied to the data as it passes through the integration process. They enable developers to manipulate, cleanse, and enrich data according to business requirements.

    Informatica Cloud provides a wide range of transformations, including:

     - Filter: Allows developers to select a subset of data based on specified conditions.

     - Expression: Enables developers to perform calculations or apply business logic to derive new fields or values.

     - Aggregator: Aggregates data, such as sum, average, count, etc., typically used for roll-up operations.

     - Lookup: Retrieves additional information from reference datasets based on matching criteria.

     - Joiner: Combines data from multiple sources based on matching keys.

     - Sorter: Orders data based on specified criteria. - Informatica Online Training

     - Router: Routes data to different output paths based on conditional logic.

     - Normalizer/Denormalizer: Transforms hierarchical or nested data structures.

     - Custom Transformation: Allows developers to implement custom logic using JavaScript or other programming languages.

4. Mapping Tasks:

   - Mapping tasks are the individual operations within a mapping that perform specific transformations or data movements.

   - Each mapping task corresponds to a transformation or a data movement operation, such as reading data from a source, applying a filter, performing a calculation, or writing data to a target.

5. Reusable Components:

   - Informatica Cloud allows developers to create reusable components such as mapplets or mappings with parameters, which can be used across multiple integration processes.

   - This promotes reusability, simplifies maintenance, and enhances consistency across integration projects.

6. Execution and Monitoring:

   - Once the mappings are designed, developers can execute them either manually or schedule them to run at predefined intervals.

   - Informatica Cloud provides monitoring and logging capabilities to track the execution status and performance of integration tasks. - Informatica Training in Hyderabad

Overall, transformations and mapping tasks in Informatica Cloud play a crucial role in orchestrating data integration processes, enabling organizations to extract, transform, and load data efficiently across various systems and platforms.

 

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