Master Data Engineering using GCP Data Analytics
Learn GCS for Data Lake, BigQuery for Data Warehouse, GCP Dataproc and Databricks for Big Data Pipelines
4.63 (688 reviews)
7,293
students
19.5 hours
content
Nov 2023
last update
$94.99
regular price
What you will 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
Related Topics
4918702
udemy ID
10/8/2022
course created date
10/25/2022
course indexed date
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