Google Cloud Certified Professional Data Engineer - Study Guide with Practice Questions & Labs: Second Edition - 2023 - Hardcover

Inhaltsangabe

Google Cloud Certified Professional Data Engineer - Study Guide with Practice Questions and Labs - Second Edition

About the Author
Nouman Ahmed Khan
AWS/Azure/GCP-Architect, CCDE, CCIEx5 (R&S, SP, Security, DC, Wireless), CISSP, CISA, CISM, CRISC, ISO27K-LA is a Solution Architect working with a global telecommunication provider. He works with enterprises, mega-projects, & service providers to help them select the best-fit technology solutions. He also works as a consultant to understand customer business processes & helps select an appropriate technology strategy to support business goals. He has more than eighteen years of experience working with global clients.

MASTER THE GOOGLE CLOUD CERTIFIED PROFESSIONAL DATA ENGINEER EXAM IN 7 DAYS!

Key features of this book:
This book provides everything you need to become a Data Engineer & prepares you for the Google Cloud Certified Professional Data Engineer exam. The new edition of this book is packed with various resources, such as:

-Content that covers a complete exam blueprint
-Practice Questions
-Mind maps
-Hands-on practice labs
-Real-world examples
-Exam tips

Book Description:
This comprehensive guide to Google Cloud Certified Data Engineer is the ideal resource for anyone looking to start their cloud computing career journey with confidence & become a Google Cloud Data Engineer. It provides everything you need to prepare for this important exam & master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification.
This is a great book to start for individuals who want to secure using cloud services and solutions in the Google Cloud.

What you will learn:
•Define the Google Cloud according to a working definition
•Compare and contrast an on-premises, hybrid-cloud, and all-in cloud setup
•Designing data processing systems
•Building and operationalizing data processing systems
•Operationalizing machine learning models
•Ensuring solution quality
•Designing data pipelines and a data processing solution
•Migrating data warehousing and data processing
•Building and operationalizing storage systems, pipeline and processing infrastructure
•Leveraging pre-built ML models as a service and ML pipeline
•Measuring, monitoring, and troubleshooting machine learning models
•Designing for security and compliance
•Ensuring scalability, reliability, flexibility, and portability

Who is this book for?
This book is perfect for anyone looking to get started in the exciting and ever-growing field of cloud computing.
This exam guide is designed to help you develop an in depth understanding of data engineering & machine learning on Google Cloud Platform.
With enough practical experience and knowledge after completing this course, you will be prepared to successfully pass the Google Cloud Certified Data Engineer certification exam on your first attempt.

Topics Included:
•Chapter 01:Introduction
•Chapter 02:Data Processing & Dataprep Fundamentals
•Chapter 03:Storage & Database
•Chapter 04:Big Data Ecosystem
•Chapter 05:Real-Time Messaging with Pub/Sub
•Chapter 06:Pipelines with Cloud Dataflow
•Chapter 07:Manage Spark with Cloud Dataproc
•Chapter 08:NoSQL Data with Cloud Bigtable
•Chapter 09:Data Analytics with BigQuery
•Chapter 10:Exploration with Data Lab
•Chapter 11:Visualization with Cloud Data Studio
•Chapter 12:Orchestration with Cloud Composer
•Chapter 13:Introduction to Machine Learning
•Chapter 14:Machine Learning with TensorFlow
•Chapter 15:Using Pre-Trained ML Cloud APIs
•Chapter 16:Leveraging AutoML Platform
•Chapter 17:Operationalizing Machine Learning Models
•Chapter 18:Data Security & Regulation

2023 BONUS MATERIAL! FREE SURPRISE VOUCHER
1.Get 350 UNIQUE Practice Questions (online) to simulate the real exam.
AND
2.Get FREE Exam Cram Notes (online access)

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