Creating a Data Transformation Pipeline with Cloud Dataprep
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab you explore the Cloud Dataprep UI to build a data transformation pipeline that runs at a scheduled interval 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.
In this lab, you 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.
- Schedule transformation jobs outputs to BigQuery.
What you'll need
The Google Chrome browser. Other browsers are currently not supported by Cloud Dataprep.
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Run Cloud Dataprep jobs to BigQuery