FeaturedUdemy
Introduction to Data Engineering on Google Cloud
4.8(18)239 studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner course introduces Google Cloud's powerful data engineering ecosystem. It covers storage and pipeline architectures—from BigQuery to Cloud Composer—giving learners practical insight into building scalable ETL/ELT solutions on GCP.
Who It's For
Beginner data engineers, cloud architects, and data analysts interested in mastering data warehousing and processing services on Google Cloud Platform.
Key Takeaways
- GCP Storage Solutions: Understand data sources, sinks, formats, and storage options across Google Cloud.
- ETL & ELT Architecture: Design data pipelines using BigQuery, Dataform, Dataproc, and Cloud Composer.
- Replication & Migration: Learn strategies for streaming data ingestion, data lakehouse design, and database migration.
- Hands-On GCP Labs: Gain practical experience with Datastream, BigLake, and Serverless Spark environments.
About this course
This course introduces the data engineering role on Google Cloud. You'll learn about data sources, sinks, formats, and storage solutions, then explore replication, migration, and ETL/ELT architectures using BigQuery, Dataform, Dataproc, and Cloud Composer. The course includes hands-on labs with Datastream, BigLake, and Serverless Spark.
Price
Free
This course is free to enrol.
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