Official Google Cloud Certified Professional Data Engineer Study Guide

by Dan Sullivan

The proven Study Guide that prepares you for this new Google Cloud exam

The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests.

Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications.

- Build and operationalize storage systems, pipelines, and compute infrastructure

- Understand machine learning models and learn how to select pre-built models

- Monitor and troubleshoot machine learning models

- Design analytics and machine learning applications that are secure, scalable, and highly available.

This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.

Genres: Nonfiction

352 pages, ebook

Published May 12, 2020

About the author

Librarian Note: There is more than one author by this name in the Goodreads database.

Reviews

[Ernesto Lopez · Rating 5 out of 5]

This book is a little outdated based on exam material however is the best resource for fundamentals google cloud data and ai concepts and services. Well explained and detailed with examples. The review questions are exam like so I will still recommend this material for exam prep.

[Ryan · Rating 5 out of 5]

Significant contribution to me passing my certification

[Patrycja · Rating 5 out of 5]

A really good preparation for GCP Data engineer Exam. Information is presented in a concise and clear manner, and there isn't much of irrelevant data.

[Fiona · Rating 3 out of 5]

1st attempt: found a better resource and this was sooooo dry plus the app you have to read this ebook in sucks

2nd attempt: SO much easier to read and highlight this when it is a physical copy. Shoutout to my coworker who told me I could get the physical copy expensed. This book is quite informative and the physical copy makes a huge difference when flipping back and forth between topics and practice questions.

This book helped me pass my exam. There are so many good practice questions that you can access when you register your book online. I have purchased another book from this author that covers machine learning to study for that exam too.

[angelreading · Rating 3 out of 5]

Good but outdated. I used this book as one of my tools to pass the certification and it was great, but unfortunately Google changed the scope of the exam so the book is outdated. Important technologies like Dataplex are missing and most of the technical limitations changed, for example Spanner nodes are now up to 4TB instead of 2, that was at the time of the book being written. I did use the test questions at the end of the chapters to find my knowledge gasps and those were great :) I hope they update it soon because it’s a great book

[Andrew Breza · Rating 5 out of 5]

My employer is moving to Google Cloud Platform (GCP). I run a data science department and most of my experience has been on workstations and bare metal servers. This book gave me an excellent overview of the different services offered by GCP. I know the highlights of each major data-related service, which gives me the confidence to explore them in depth on my own.

[Horia · Rating 5 out of 5]

Great book for preparing for the Google Cloud Professional Data Engineer Exam.

I don't believe this book will age well. :) By the time of writing it's already a bit obsolete on the latest topics like: Vertex AI, Big Query ML or serverless Spark

Definitely one of the best resources to be used.

[Miguel Veliz · Rating 5 out of 5]

I got sucessfully certified thanks to this book

[Maxim · Rating 2 out of 5]

Now I understand why certificated "experts" cannot pass my live-coding interviews and cannot solve the simplest Data Engineering problems, like, Incremental Data Loading, Business Deduplication, etc.

The book is totally theoretical and didactic. It doesn't contain anything you can't learn from the official GCP Documentation.

At the same time, the GCP documentation contains code snippets and full labs / workshops, while the book doesn't contain anything aside from superficial theory.

IMHO, this is totally a Cargo-Cult.