Data Engineering with Google Cloud Platform
Packed with hands-on examples, this book will help you perform key tasks such as ingesting, transforming, and consuming data to build end-to-end data pipelines with GCP. By the end of this book, you'll be well-versed with various GCP tools that can boost your data engineering career in no time.
Offered by
Difficulty Level
Intermediate
Completion Time
14h40m
Language
English
About Book
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.
Data Engineering with Google Cloud Platform
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h40m total length
Fundamentals of Data Engineering
Big Data Capabilities on GCP
Building a Data Warehouse in BigQuery
Building Orchestration for Batch Data Loading Using Cloud Composer
Building a Data Lake Using Dataproc
Processing Streaming Data with Pub/Sub and Dataflow
Visualizing Data for Making Data-Driven Decisions with Data Studio
Building Machine Learning Solutions on Google Cloud Platform
User and Project Management in GCP
Cost Strategy in GCP
CI/CD on Google Cloud Platform for Data Engineers
Boosting Your Confidence as a Data Engineer
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