You're reading from Data Engineering with Google Cloud Platform A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781835080115

Length 476 pages

Edition 2nd Edition

Languages

SQL

Tools

Google Cloud Platform

Concepts

Data Engineering

Author (1):

Adi Wijaya

Preface

1. Part 1: Getting Started with Data Engineering with GCP

2. Chapter 1: Fundamentals of Data Engineering FREE CHAPTER

3. Chapter 2: Big Data Capabilities on GCP

4. Part 2: Build Solutions with GCP Components

5. Chapter 3: Building a Data Warehouse in BigQuery

6. Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer

7. Chapter 5: Building a Data Lake Using Dataproc

8. Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow

9. Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio

10. Chapter 8: Building Machine Learning Solutions on GCP

11. Part 3: Key Strategies for Architecting Top-Notch Solutions

12. Chapter 9: User and Project Management in GCP

13. Chapter 10: Data Governance in GCP

14. Chapter 11: Cost Strategy in GCP

15. Chapter 12: CI/CD on GCP for Data Engineers

16. Chapter 13: Boosting Your Confidence as a Data Engineer

17. Index

18. Other Books You May Enjoy

Other Books You May Enjoy

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Data Engineering with Google Cloud Platform

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ISBN: 978-1-80056-132-8

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

Database Design and Modeling with Google Cloud

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ISBN: 978-1-80461-145-6