- Serverless Computing
- Dataflow
- Data Pipelines
- Google Cloud Platform
- Data Processing
- Apache Spark
- Cloud Storage
- Data Transformation
- Data Integration
- Data Wrangling
- Extract, Transform, Load
Building Batch Data Pipelines on Google Cloud
Completed by karthikeyan Chandrasekar
December 31, 2020
17 hours (approximately)
karthikeyan Chandrasekar'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
