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Building Batch Data Pipelines on GCP

Google Cloud

Included with DLSEI 3.0

Cloud Data Engineer - Google Cloud Certification

Learn, practice, and apply job-ready skills with expert guidance

5

Rating out of 5

Advanced Level

Recommended experience

10 Hours

Learn at your own pace

information-technology

Domain

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.

What skills will you gain?

Cloud Computing

Apache

Google Cloud Platform

Extract, Transform, Load

Bigquery

Cloud Platforms

Computer Programming

Python Programming

Algorithms

Computer Architecture