Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Data Engineering with Google Cloud Platform
Data Engineering with Google Cloud Platform

Data Engineering with Google Cloud Platform: A practical guide to operationalizing scalable data analytics systems on GCP

eBook
$49.99 $55.99
Paperback
$69.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Data Engineering with Google Cloud Platform

Chapter 1: Fundamentals of Data Engineering

Years ago, when I first entered the data science world, I used to think data was clean. Clean in terms of readiness, available in one place, and ready for fun data science purposes. I was so excited to experiment with machine learning models, finding unusual patterns in data and playing around with clean data. But after years of experience working with data, I realized that data science in big organizations isn't straightforward. 

Eighty percent of the effort goes into collecting, cleaning, and transforming the data. If you have had any experience in working with data, I am sure you've noticed something similar. But the good news is, we know that almost all processes can be automated using proper planning, designing, and engineering skills. That was the point where I realized that data engineering will be the most critical role from that day to the future of the data science world. 

To develop a successful data ecosystem in any organization, the most crucial part is how they design the data architecture. If the organization fails to make the best decision on the data architecture, the future process will be painful. Here are some common examples: the system is not scalable, querying data is slow, business users don't trust your data, the infrastructure cost is very high, and data is leaked. There is so much more that can go wrong without proper data engineering practice. 

In this chapter, we are going to learn the fundamental knowledge behind data engineering. The goal is to introduce you to common terms that are often used in this field and will be mentioned often in the later chapters. 

In particular, we will be covering the following topics:

  • Understanding the data life cycle
  • Know the roles of a data engineer before starting
  • Foundational concepts for data engineering
Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution
  • Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines
  • Discover tips to prepare for and pass the Professional Data Engineer exam

Description

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.

Who is this book for?

This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.

What you will learn

  • Load data into BigQuery and materialize its output for downstream consumption
  • Build data pipeline orchestration using Cloud Composer
  • Develop Airflow jobs to orchestrate and automate a data warehouse
  • Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster
  • Leverage Pub/Sub for messaging and ingestion for event-driven systems
  • Use Dataflow to perform ETL on streaming data
  • Unlock the power of your data with Data Studio
  • Calculate the GCP cost estimation for your end-to-end data solutions
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 31, 2022
Length: 440 pages
Edition : 1st
Language : English
ISBN-13 : 9781800561328
Category :
Languages :
Concepts :

What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Mar 31, 2022
Length: 440 pages
Edition : 1st
Language : English
ISBN-13 : 9781800561328
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 183.97
Google Cloud Certified Professional Cloud Network Engineer Guide
$48.99
Data Engineering with AWS
$64.99
Data Engineering with Google Cloud Platform
$69.99
Total $ 183.97 Stars icon

Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(12 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Kyle Malone May 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a data analyst looking to expand my data engineering skills, I have been looking for a book on this topic for a while now. It's exactly what I needed to better understand how to write ETL jobs using GCP.The code in Github has a few errors, but if you know basic Python you should be able to spot and correct the mistakes fairly easily. Overall, this books has helped me a ton. I would definitely purchase it again.
Amazon Verified review Amazon
Behnam Jun 19, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book helped me to get started working with GCP in an organized way, now I have the confidence to do some real projects on GCP.
Amazon Verified review Amazon
cloud-learner Jun 28, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
well written and easy to understand!
Amazon Verified review Amazon
Om S May 31, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Google Cloud Platform had always been pioneered when it comes to big data and AI. This platform is amazingly simple for developers and the author has done a great job putting everything together step by step to facilitate readers' and users' experience.The book is divided into 12 solid chapters; the last chapter is related to those who are interested in getting certification and want to know more about it.[Chapter 1 ] - Explains fundamentals of data engineering, ETL concept in data engineering and data life cycle, the difference between ETL and ELT, etc. It also explains ETL, big data, and distributed systems in short.[Chapter 2] - This is more related to big data products and their capability, GCP console, cloud shell, and cloud editor are needed and explained in detail with other associated services. The author has explained serverless services or fully managed services. Most of the cloud companies want clients/users to be on and opt serverless side of the story![Chapter 3] - Cover Google Cloud Storage and BigQuery console, Different kind of scenarios the author has presented give a different aspect of the data modeling and understanding of the BigQuery operations. You will learn design data modeling for BigQuery. Diagram and code to cover your practice that is your key.[Chapter 4] - In this chapter automating tasks, jobs, and how to handle their dependencies has been explained. Cloud Composer, the introduction of the open-source tool “Airflow” and data pipeline for BigQuery data warehouse. [Chapter 5] - If you know and have an idea about Spark and PySpark you will be enjoying this chapter! Developing Spark ETL from GCS to BigQuery is a fun part. Brief Intro to Dataproc which is Data Lake, building a data lake on a Dataproc cluster, creating and running jobs on a Dataproc cluster, the concept of the ephemeral cluster, using Dataproc and Cloud Composer is explained. My suggestion is to learn HDFS and Spark a bit in detail, this is an important chapter.[Chapter 6] – You will learn about streaming data and how to handle incoming data as soon as data is created using the Pub/Sub publisher client.[Chapter 7] - Data Studio for visualizing data with connectivity to BigQuery. Data studio explorer gives a lot of options to make charts/aggregations and visualize your data.[Chapter 8] - No one understands better than Google Cloud about Machine Learning and Artificial Intelligence. In this chapter, author has a provided bird eye view of ML, MLOps, some pre-built GCP models as a service, and deploying ML pipelines with Vertex AI are highlights. If you like ML you will be enjoying this chapter. Different Exercises make this a more fun chapter. [Chapter 9 ] IAM, project structure, and BigQuery ACLs, controlling user access/ infrastructure as code. You will also learn the power of Terraform but my intake is practicing “Terraform” a bit outside of this book is more fun and you will see new challenges. [Chapter 10] - This chapter cover cost strategy/saving money and also highlights how to estimate the overall data solution using GCP. End-to-end data solution cost with tools and tips for optimizing services. Happy clients bring good business![Chapter 11] - Continuous integration and continuous deployment (CI/CD) on Google Cloud Platform for Data Engineers, explains the concept of CI/CD and its relevance to data engineers. Without CI/CD cloud is like a handicap! If you have used that before you will understand its importance.[Chapter 12 ] – As I explained in the beginning it's all about Boosting Your Confidence as a Data Engineer, and preparing you for the GCP certification. Finally, I would conclude it as a great book. Nice references/URL and summary for revision.For a new version of the book, I would be expecting more questions and case studies for readers.
Amazon Verified review Amazon
Yashar Mansouri Jun 26, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Engineering with GCP by Adi Wijaya is a hands-on-book that covers processes such as Data Warehousing , ETL/ELT, and workflow management through the use of Google Cloud Platform's tech stack.Services such as IAM & Admin, BigQuery, CloudSQL, Cloud Storage, Composer, Dataproc, Pub/Sub, and Dataflow are covered in multiple chapters of the book with hands-on or coding examples through Cloud Console, Cloud Shell scripting, and even Python code. Most examples are presented by trying to answer business requirements for real world scenarios.What I specifically liked is that the author also covers the concepts around data engineering processes such as comparing the Inmon and Kimball Data Warehousing methods and when to use each as well as user and project management and the optimal cost strategy when using the tools provided by GCP.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the digital copy I get with my Print order? Chevron down icon Chevron up icon

When you buy any Print edition of our Books, you can redeem (for free) the eBook edition of the Print Book you’ve purchased. This gives you instant access to your book when you make an order via PDF, EPUB or our online Reader experience.

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela