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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

Saving, sharing, and scheduling queries

BigQuery also provides features for saving, sharing, and scheduling queries, allowing you to collaborate with others, reuse queries for future analysis, and schedule queries to run at a future time. Understanding how to save, share, and schedule queries will help improve your productivity in BigQuery.

To save a query in BigQuery, you first need to write the query in the BigQuery Query Editor. Once you have written the query, you can save it by clicking the Save button. When you save a query, you can choose to save it as a Personal query, Project query, or Public query types. A personal query can only be accessed and edited by you. A project query can be edited by other project users with appropriate permissions. Finally, a public query can be accessed by anyone outside of your project with your query-shared URL.

Sharing queries in BigQuery allows you to collaborate with others and distribute query results. There are a few ways to share...

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