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Creating a Data Transformation Pipeline with Cloud Dataprep

Creating a Data Transformation Pipeline with Cloud Dataprep

1시간 15분 크레딧 7개

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 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.

Objectives

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

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
이 실습을 시작하려면 가입하세요
점수

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Run Cloud Dataprep jobs to BigQuery

단계 진행

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