Building Batch Data Pipelines on Google Cloud

This course is intended for developers who are responsible for designing pipelines and architectures for data processing.

• Experience with data modeling and ETL (extract, transform, load) activities.
• Experience with developing applications by using a common programming language such as Python or Java.

• Review different methods of data loading: EL, ELT and ETL and when to use what.
• Run Hadoop on Dataproc, use Cloud Storage, and optimize Dataproc jobs.
• Build your data processing pipelines by using Dataflow.
• Manage data pipelines with Data Fusion and Cloud Composer

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