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Data Engineering with Google Cloud Platform - Second Edition

You're reading from  Data Engineering with Google Cloud Platform - Second Edition

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Pages 476 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya
LinkedIn
Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
See other products by Adi Wijaya

Table of Contents (19) Chapters

Preface Part 1: Getting Started with Data Engineering with GCP
Chapter 1: Fundamentals of Data Engineering Chapter 2: Big Data Capabilities on GCP Part 2: Build Solutions with GCP Components
Chapter 3: Building a Data Warehouse in BigQuery Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer Chapter 5: Building a Data Lake Using Dataproc Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio Chapter 8: Building Machine Learning Solutions on GCP Part 3: Key Strategies for Architecting Top-Notch Solutions
Chapter 9: User and Project Management in GCP Chapter 10: Data Governance in GCP Chapter 11: Cost Strategy in GCP Chapter 12: CI/CD on GCP for Data Engineers Chapter 13: Boosting Your Confidence as a Data Engineer Index Other Books You May Enjoy

Technical requirements

Before we begin to learn in this chapter, make sure you have the following prerequisites ready.

In this chapter’s exercises, the GCP services that we will use are Dataproc, Google Cloud Storage (GCS), BigQuery, and Cloud Composer. If you have never opened any of these services in your GCP console, open them and enable the APIs.

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

Download the example code and the dataset from https://github.com/PacktPublishing/Data-Engineering-with-Google-Cloud-Platform-Second-Edition/tree/main/chapter-5.

Be aware of costs you might incur from Dataproc and the Cloud Composer cluster. Make sure you delete all the environments after the exercises to prevent any unexpected costs.

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Authors (1)

Profile icon Adi Wijaya
LinkedIn
Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
See other products by Adi Wijaya

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