
Create and configure a synchronization task to move data from Oracle HR to PostgreSQL for the employees table, with salary filters and mapping options, including insert, update, upsert, or delete.
Parse unstructured data with the hierarchy parser transformation by creating a hierarchical schema from a JSON file, mapping all fields to the employees unstructured target, and processing 107 rows.
In today’s data-driven world, organizations rely on fast, scalable, and secure data integration to keep their systems connected and insights flowing. Informatica Intelligent Cloud Services (IICS) has become the industry standard for cloud-based data integration and ETL, making it a must-have skill for modern data engineers and integration specialists.
This course, “Informatica IICS for Data Engineers: Cloud Integration & ETL,” is designed to give you hands-on experience with the Informatica Cloud Data Integration (CDI) platform. You will learn how to design, build, and manage cloud-based ETL pipelines that move and transform data seamlessly across multiple systems.
We begin with the fundamentals of Informatica IICS, covering its architecture, features, and use cases. Next, you will dive into real-world data integration tasks—connecting to different data sources, applying transformations, orchestrating data flows, and automating pipelines in the cloud. Along the way, you’ll learn best practices for performance optimization, error handling, and monitoring.
By the end of this course, you will have the practical knowledge to confidently use Informatica IICS for cloud integration and ETL, making you better prepared for data engineering, analytics, and cloud migration projects.
Whether you’re a data engineer, ETL developer, or aspiring cloud integration specialist, this course will give you the skills and confidence to work with one of the most powerful data integration platforms in the industry.