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1. Informatica Cloud (IICS): Cloud Mapping Designer - Transformations Cloud Mapping Designer within Informatica Intelligent Cloud Services (IICS) offers a wide range of transformations to manipulate data during the integration process. These transformations enable users to cleanse, enrich, and format data as it moves between different systems and platforms in the cloud environment. - Informatica Cloud Online Training Here are some common transformations you might find in Cloud Mapping Designer: 1. Expression Transformation: This allows users to create custom expressions using functions and operators to perform calculations, manipulate strings, and transform data values. 2. Filter Transformation: It filters rows of data based on specified conditions, allowing users to include or exclude records that meet certain criteria. 3. Aggregator Transformation: Used for aggregate calculations such as sum, average, count, min, and max on groups of rows. It's commonly used in data warehousing and analytics scenarios. 4. Joiner Transformation: Enables joining data from multiple sources based on a specified join condition. Users can perform inner, outer, or full outer joins as needed. - Informatica Training in Ameerpet 5. Lookup Transformation: Allows users to look up values in a reference dataset based on a key and retrieve corresponding values. It's useful for enriching data with additional information from reference tables. 6. Sorter Transformation: Sorts data based on one or more specified keys or columns. It's often used to prepare data for further processing or to ensure consistency in downstream operations. 7. Router Transformation: Routes rows of data to different output groups based on predefined conditions or expressions. It's useful for directing data based on various criteria. 8. Rank Transformation: Ranks data based on specified criteria, such as sorting order or expression results. Users can rank data in ascending or descending order and limit the number of ranked rows. 9. Normalizer Transformation: Converts denormalized data into normalized form by splitting columns into multiple rows or combining multiple rows into a single row.

2. 10. Union Transformation: Combines data from multiple sources into a single dataset, preserving the structure of the input datasets. - Informatica Cloud Data Integration Training These are just a few examples of the transformations available in Cloud Mapping Designer. Each transformation serves a specific purpose in data integration and transformation workflows, allowing users to tailor their data processing logic to meet their specific requirements. Visualpath is the Leading and Best Institute for learning Informatica Cloud Online Training. We provide Informatica Online Training, you will get the best course at an affordable cost. Attend Free Demo Call on - +91-9989971070. Whats App: https://www.whatsapp.com/catalog/919989971070/ Visit: https://www.visualpath.in/informatica-cloud-training.html