menu
arrow_back

Creating a Data Transformation Pipeline with Cloud Dataprep

search share Dołącz Zaloguj się

Creating a Data Transformation Pipeline with Cloud Dataprep

1 godz. 15 godz. Punkty: 7

This lab was developed with our partner, Trifacta. Your personal information may be shared with Trifacta, the lab sponsor, if you have opted-in to receive product updates, announcements, and offers in your Account Profile.

GSP430

Google Cloud Self-Paced Labs

Overview

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 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.

Dołącz do Qwiklabs, aby zapoznać się z resztą tego modułu i innymi materiałami.

  • Uzyskaj tymczasowy dostęp do Google Cloud Console.
  • Ponad 200 modułów z poziomów od początkującego do zaawansowanego.
  • Podzielono na części, więc można uczyć się we własnym tempie.
Dołącz, aby rozpocząć ten moduł