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ETL Processing on Google Cloud Using Dataflow and BigQuery

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Create a Cloud Storage Bucket

Copy Files to Your Bucket

Create the BigQuery Dataset (name: lake)

Build a Data Ingestion Dataflow Pipeline

Build a Data Transformation Dataflow Pipeline

Build a Data Enrichment Dataflow Pipeline

Build a Data lake to Mart Dataflow Pipeline

ETL Processing on Google Cloud Using Dataflow and BigQuery

1 ora 7 crediti

GSP290

Google Cloud Self-Paced Labs

Overview

In this lab you build several Data Pipelines that ingest data from a publicly available dataset into BigQuery, using these Google Cloud services:

  • Cloud Storage
  • Dataflow
  • BigQuery

You will create your own Data Pipeline, including the design considerations, as well as implementation details, to ensure that your prototype meets the requirements. Be sure to open the python files and read the comments when instructed to.

Crea un account Qwiklabs per leggere il resto del lab e tanto altro ancora.

  • Acquisisci accesso temporaneo a Google Cloud Console.
  • Oltre 200 lab dal livello iniziale a quelli più avanzati.
  • Corsi brevi per apprendere secondo i tuoi ritmi.
Crea un account per iniziare questo lab