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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A practical guide to operationalizing scalable data analytics systems on GCP

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Length 440 pages
Edition 1st Edition
Languages
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 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. Section 2: Building Solutions with GCP Components
5. Chapter 3: Building a Data Warehouse in BigQuery 6. Chapter 4: Building Orchestration 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 for Making Data-Driven Decisions with Data Studio 10. Chapter 8: Building Machine Learning Solutions on Google Cloud Platform 11. Section 3: Key Strategies for Architecting Top-Notch Data Pipelines
12. Chapter 9: User and Project Management in GCP 13. Chapter 10: Cost Strategy in GCP 14. Chapter 11: CI/CD on Google Cloud Platform for Data Engineers 15. Chapter 12: Boosting Your Confidence as a Data Engineer 16. Other Books You May Enjoy

Controlling user access to our data warehouse

After learning about user access on an organization, folder, and project level, we will take a look specifically at the Access Control List (ACL) in BigQuery. An ACL is actually the same concept as IAM, but the ACL terminology is more commonly used when talking about data space. Planning an ACL in BigQuery means planning who can access what in BigQuery. 

At a very high level, there are two main types of GCP permission in BigQuery, as follows: 

  • Job permissions—BigQuery has job-level permissions. For example, for a user to be able to run a query inside the project, they need bigquery.jobs.create

Note that being able to run a query job doesn't mean having access to the data. Access to the data is managed by the other permissions, which will be explained next. 

  • Access permissions—This one is a little bit more complicated compared to job permissions. If we talk about data access...
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