0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Data Engineering with Google Cloud Platform

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

View More author details

Table of Contents (19) Chapters

Preface

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

2. Chapter 1: Fundamentals of Data Engineering

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

Why subscribe?

18. Other Books You May Enjoy

Technical requirements

For this chapter’s exercises, we will use the following GCP services:

BigQuery
GCS
Vertex AI Pipelines
Vertex AI AutoML
Google Cloud Vision AI
Google Cloud Translate

If you have never opened any of these services in your GCP console, try to open them and enable the respective API if required.

Also, make sure you have your GCP console, Cloud Shell, and Cloud Editor ready.

Finally, download the example code and the dataset from https://github.com/PacktPublishing/Data-Engineering-with-Google-Cloud-Platform-Second-Edition/tree/main/chapter-8.

Now, let’s get started!

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at €18.99/month. Cancel anytime

Authors (1)

Adi Wijaya

Adi Wijaya

Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google. Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.

See other products by Adi Wijaya

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.