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Creating a Data Transformation Pipeline with Cloud Dataprep | Data Engineering | GSP430

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In this lab you explore the Cloud Dataprep UI to build a data transformation pipeline and outputs results into BigQuery.
The dataset you'll use is an ecommerce dataset that has millions of Google Analytics session records for the Google Merchandise Store loaded into BigQuery. You have a copy of that dataset for this lab and will explore the available fields and row for insights.
Objectives
In this lab, you will learn how to perform these tasks:
Connect BigQuery datasets to Cloud Dataprep.
Explore dataset quality with Cloud Dataprep.
Create a data transformation pipeline with Cloud Dataprep.
Run transformation jobs outputs to BigQuery.
#googlecloudreadyfacilitatorprogram #googlecloudtraining #googlecloudready
The dataset you'll use is an ecommerce dataset that has millions of Google Analytics session records for the Google Merchandise Store loaded into BigQuery. You have a copy of that dataset for this lab and will explore the available fields and row for insights.
Objectives
In this lab, you will learn how to perform these tasks:
Connect BigQuery datasets to Cloud Dataprep.
Explore dataset quality with Cloud Dataprep.
Create a data transformation pipeline with Cloud Dataprep.
Run transformation jobs outputs to BigQuery.
#googlecloudreadyfacilitatorprogram #googlecloudtraining #googlecloudready