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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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Toc

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

Summary of key points

Let’s revise our chapter-wise journey in this book right from the beginning in the following sections, which contain a list of key points from each chapter.

Chapter 1, Introducing BigQuery and Its Components

  • BigQuery is a fully managed, serverless data warehouse that enables users to analyze data with SQL.
  • BigQuery uses a columnar format that is optimized for analytics queries on structured and semi-structured data.
  • You can use common SQL queries to analyze data in BigQuery, as BigQuery supports a standard SQL dialect known as GoogleSQL.
  • There are several access methods for administration tasks in BigQuery, including the Google Cloud console, the bq command-line tool, and the BigQuery API.
  • Role-based access control (RBAC) is used to secure data and resources. You can control access to rows as well as views.
  • There are two pricing models: on-demand analysis and capacity pricing (BigQuery Editions), offering predictable pricing...
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