Master Data Engineering using GCP Data Analytics

Master Data Engineering using GCP Data Analytics

What you’ll learn

  • Data Engineering leveraging Services under GCP Data Analytics
  • Setup Development Environment using Visual Studio Code on Windows
  • Building Data Lake using GCS
  • Process Data in the Data Lake using Python and Pandas
  • Build Data Warehouse using Google BigQuery
  • Loading Data into Google BigQuery tables using Python and Pandas
  • Setup Development Environment using Visual Studio Code on Google Dataproc with Remote Connection
  • Big Data Processing or Data Engineering using Google Dataproc
  • Run Spark SQL based applications as Dataproc Jobs using Commands
  • Build Spark SQL based ELT Data Pipelines using Google Dataproc Workflow Templates
  • Run or Instantiate ELT Data Pipelines or Dataproc Workflow Template using gcloud dataproc commands
  • Big Data Processing or Data Engineering using Databricks on GCP
  • Integration of GCS and Databricks on GCP
  • Build and Run Spark based ELT Data Pipelines using Databricks Workflows on GCP
  • Integration of Spark on Dataproc with Google BigQuery
  • Build and Run Spark based ELT Pipeline using Google Dataproc Workflow Template with BigQuery Integration

How to Enroll Master Data Engineering using GCP Data Analytics course?

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