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Data Exploration and Preparation with BigQuery

You're reading from   Data Exploration and Preparation with BigQuery A practical guide to cleaning, transforming, and analyzing data for business insights

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805125266
Length 264 pages
Edition 1st Edition
Languages
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Author (1):
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Mike Kahn Mike Kahn
Author Profile Icon Mike Kahn
Mike Kahn
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Introduction to BigQuery FREE CHAPTER
2. Chapter 1: Introducing BigQuery and Its Components 3. Chapter 2: BigQuery Organization and Design 4. Part 2: Data Exploration with BigQuery
5. Chapter 3: Exploring Data in BigQuery 6. Chapter 4: Loading and Transforming Data 7. Chapter 5: Querying BigQuery Data 8. Chapter 6: Exploring Data with Notebooks 9. Chapter 7: Further Exploring and Visualizing Data 10. Part 3: Data Preparation with BigQuery
11. Chapter 8: An Overview of Data Preparation Tools 12. Chapter 9: Cleansing and Transforming Data 13. Chapter 10: Best Practices for Data Preparation, Optimization, and Cost Control 14. Part 4: Hands-On and Conclusion
15. Chapter 11: Hands-On Exercise – Analyzing Advertising Data 16. Chapter 12: Hands-On Exercise – Analyzing Transportation Data 17. Chapter 13: Hands-On Exercise – Analyzing Customer Support Data 18. Chapter 14: Summary and Future Directions 19. Index 20. Other Books You May Enjoy

BigQuery administration and access

In this section, we will discuss how to administer and secure resources in BigQuery. We will describe access methods for users and services to access data. By the end of the section, you will have a basic understanding of the different approaches to securely allocate resources in BigQuery and how to enable access to users.

Tools for administration

BigQuery has several access methods for administration tasks. Most users and roles can do the same function, with multiple tools enabling point-and-click as well as automated task flows.

The Google Cloud console is the main user interface for the centralized management of data and compute resources. Users access the Google Cloud console to run SQL queries and create and manage BigQuery resources. In the BigQuery navigation menu, you can access options for analysis, migration, and administration.

When you access the SQL workspace in the BigQuery section of the Cloud console, you will be presented...

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