Data Ingestion & Pipeline Implementation

О курсе

Learn how to extract, migrate, and ingest data across multiple systems through this applied course in the Data Engineering Skill Path. You will develop critical competencies including collecting data from APIs, parsing semi-structured formats, designing and executing ETL/ELT migration jobs, building extraction routines with SDKs, loading large datasets into cloud warehouses, and implementing real-time ingestion pipelines using streaming systems. Through hands-on practice with IBM tooling, Snowflake, Kafka, and Python-based extraction workflows, you will learn to build scalable ingestion processes that reliably move data from source to structured storage. This course combines expertise from IBM and Snowflake, offering multiple perspectives on data ingestion across batch, streaming, and cloud-native environments. You will progress from collecting and preparing raw input data to designing migration plans, executing ETL/ELT scripts, applying bulk-loading techniques, and implementing event-driven pipelines. The curriculum balances conceptual foundations with practical exercises, preparing you to manage ingestion pipelines end-to-end. Perfect for aspiring data engineers and learners seeking strong, practical skills in extraction, migration, and ingestion across modern data platforms and architectures.

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