- Dataflow
- System Monitoring
- Big Data
- Performance Tuning
- Data Warehousing
- Google Cloud Platform
- Data Quality
- Apache Spark
- Data Pipelines
- Serverless Computing
- Data Transformation
- Extract, Transform, Load
Building Batch Data Pipelines on Google Cloud
Completed by Jose-Antonio Gonzalez-Garcia
February 16, 2020
10 hours (approximately)
Jose-Antonio Gonzalez-Garcia'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
