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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

Best practices for optimizing compute

This section covers analysis optimization. Here, you will learn how to plan, adjust, and utilize the greatest amount of cost efficiency in BigQuery. Referred to as compute, analysis, or processing, you have various options and strategies to leverage and consider as you utilize and optimize BigQuery to process your table data.

Analysis cost options

Because of its accessibility and capabilities, BigQuery has been adopted as the primary data platform for users from various data backgrounds and experience levels. Initially, the service was entirely an on-demand pay-as-you-go pricing model. This means you are only billed for what you use and there is a standard service level and features for everyone. Now, in addition to on-demand pricing, with BigQuery Editions, there are options for more demanding and predictable data analytics workloads.

As mentioned previously, query processing costs in BigQuery can be billed in two different ways –...

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