Book Image

Data Engineering with Google Cloud Platform

By : Adi Wijaya
3 (1)
Book Image

Data Engineering with Google Cloud Platform

3 (1)
By: Adi Wijaya

Overview of this book

With this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.
Table of Contents (17 chapters)
1
Section 1: Getting Started with Data Engineering with GCP
4
Section 2: Building Solutions with GCP Components
11
Section 3: Key Strategies for Architecting Top-Notch Data Pipelines

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...