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

Estimating the cost of your end-to-end data solution in GCP

While trying out the exercises in this book, we've briefly discussed the cost that might be incurred when using various GCP services. You may have already been billed by some of the resources, so you may be wondering, "How much will it cost in a full production system?" This question is important and is often asked by stakeholders. 

As a data engineer, it will be great if you can estimate the end-to-end data solution cost upfront. To estimate the cost in GCP, first, we need to understand that not all GCP services use the same pricing calculation. 

Note

The pricing model that's described in this book is based on the latest information at the time of writing. Google Cloud can change the pricing model for any service at any time.

There are three types of pricing models:

  • Machine (VM)-based: There are GCP resources that are billed with the machines. The bills that are generated...