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Data Engineering with Google Cloud Platform

You're reading from  Data Engineering with Google Cloud Platform

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Pages 440 pages
Edition 1st Edition
Languages
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya

Table of Contents (17) Chapters

Preface Section 1: Getting Started with Data Engineering with GCP
Chapter 1: Fundamentals of Data Engineering Chapter 2: Big Data Capabilities on GCP Section 2: Building Solutions with GCP Components
Chapter 3: Building a Data Warehouse in BigQuery Chapter 4: Building Orchestration for Batch Data Loading Using Cloud Composer Chapter 5: Building a Data Lake Using Dataproc Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow Chapter 7: Visualizing Data for Making Data-Driven Decisions with Data Studio Chapter 8: Building Machine Learning Solutions on Google Cloud Platform Section 3: Key Strategies for Architecting Top-Notch Data Pipelines
Chapter 9: User and Project Management in GCP Chapter 10: Cost Strategy in GCP Chapter 11: CI/CD on Google Cloud Platform for Data Engineers Chapter 12: Boosting Your Confidence as a Data Engineer Other Books You May Enjoy

From data to metrics in minutes with an illustrative use case

Now let's start our exercise; we will try to use data visualization for exploration and reporting. You will only need Data Studio and BigQuery for the exercise in this chapter. Note that using Data Studio is free

There will be two main things that we will be doing in this section:

  • Exploring the BigQuery INFORMATION_SCHEMA table using Data Studio
  • Creating a Data Studio report using data from a bike-sharing data warehouse

Before trying Data Studio, let's get familiar with INFORMATION_SCHEMA in BigQuery.

Understanding what BigQuery INFORMATION_SCHEMA is

INFORMATION_SCHEMA is a collection of tables in BigQuery that stores your BigQuery metadata. For example, if you want to know how many tables you have in your project, you can use the table INFORMATION_SCHEMA view. The other common example is that you might be wondering how much a query costs per job, day, or month. To do that, you...

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