Dan Sullivan - Official Google Cloud Certified Professional Data Engineer Study Guide

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

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Official Google Cloud Certified Professional Data Engineer

Study Guide

Official Google Cloud Certified Professional Data Engineer Study Guide - изображение 1

Dan Sullivan

Official Google Cloud Certified Professional Data Engineer Study Guide - изображение 2

Copyright © 2020 by John Wiley & Sons, Inc., Indianapolis, Indiana

Published simultaneously in Canada and in the United Kingdom

ISBN: 978-1-119-61843-0

ISBN: 978-1-119-61844-7 (ebk.)

ISBN: 978-1-119-61845-4 (ebk.)

Manufactured in the United States of America

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Web site is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Web site may provide or recommendations it may make. Further, readers should be aware that Internet Web sites listed in this work may have changed or disappeared between when this work was written and when it is read.

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Library of Congress Control Number:2020936943

TRADEMARKS: Wiley, the Wiley logo, and the Sybex logo are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other countries, and may not be used without written permission. Google Cloud and the Google Cloud logo are trademarks of Google, LLC. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

to Katherine

Acknowledgments

I have been fortunate to work again with professionals from Waterside Productions, Wiley, and Google to create this Study Guide.

Carole Jelen, vice president of Waterside Productions, and Jim Minatel, associate publisher at John Wiley & Sons, continue to lead the effort to create Google Cloud certification guides. It was a pleasure to work with Gary Schwartz, project editor, who managed the process that got us from outline to a finished manuscript. Thanks to Christine O’Connor, senior production editor, for making the last stages of book development go as smoothly as they did.

I was also fortunate to work with Valerie Parham-Thompson again. Valerie’s technical review improved the clarity and accuracy of this book tremendously.

Thank you to the Google Cloud subject-matter experts who reviewed and contributed to the material in this book:

Name Title
Damon A. Runion Technical Curriculum Developer, Data Engineering
Julianne Cuneo Data Analytics Specialist, Google Cloud
Geoff McGill Customer Engineer, Data Analytics
Susan Pierce Solutions Manager, Smart Analytics and AI
Rachel Levy Cloud Data Specialist Lead
Dustin Williams Data Analytics Specialist, Google Cloud
Gbenga Awodokun Customer Engineer, Data and Marketing Analytics
Dilraj Kaur Big Data Specialist
Rebecca Ballough Data Analytics Manager, Google Cloud
Robert Saxby Staff Solutions Architect
Niel Markwick Cloud Solutions Architect
Sharon Dashet Big Data Product Specialist
Barry Searle Solution Specialist - Cloud Data Management
Jignesh Mehta Customer Engineer, Cloud Data Platform and Advanced Analytics

My sons James and Nicholas were my first readers, and they helped me to get the manuscript across the finish line.

This book is dedicated to Katherine, my wife and partner in so many adventures.

About the Author

Dan Sullivanis a principal engineer and software architect He specializes in - фото 3 Dan Sullivanis a principal engineer and software architect. He specializes in data science, machine learning, and cloud computing. Dan is the author of the Official Google Cloud Certified Professional Architect Study Guide (Sybex, 2019), Official Google Cloud Certified Associate Cloud Engineer Study Guide (Sybex, 2019), NoSQL for Mere Mortals (Addison-Wesley Professional, 2015), and several LinkedIn Learning courses on databases, data science, and machine learning. Dan has certifications from Google and AWS, along with a Ph.D. in genetics and computational biology from Virginia Tech.

About the Technical Editor

Valerie Parham-Thompsonhas experience with a variety of open source data storage technologies, including MySQL, MongoDB, and Cassandra, as well as a foundation in web development in software-as-a-service (SaaS) environments. Her work in both development and operations in startups and traditional enterprises has led to solid expertise in web-scale data storage and data delivery.

Valerie has spoken at technical conferences on topics such as database security, performance tuning, and container management. She also often speaks at local meetups and volunteer events.

Valerie holds a bachelor’s degree from the Kenan Flagler Business School at UNC-Chapel Hill, has certifications in MySQL and MongoDB, and is a Google Certified Professional Cloud Architect. She currently works in the Open Source Database Cluster at Pythian, headquartered in Ottawa, Ontario.

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