- Serverless Computing
- Apache Hadoop
- Dataflow
- Data Pipelines
- Google Cloud Platform
- Data Processing
- Apache Spark
- Data Migration
- Data Transformation
- Big Data
- Data Integration
- Extract, Transform, Load
Building Batch Data Pipelines on Google Cloud
Completed by Javier Garzás
May 12, 2020
10 hours (approximately)
Javier Garzás's account is verified. Coursera certifies their successful completion of Building Batch Data Pipelines on Google Cloud
What you will learn
Review different methods of data loading: EL, ELT and ETL and when to use what
Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs
Build your data processing pipelines using Dataflow
Manage data pipelines with Data Fusion and Cloud Composer
Skills you will gain
