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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

Technical requirements

As mentioned in earlier chapters, to get the most out of this chapter, you will want to have access to the Google Cloud console (https://console.cloud.google.com/) to explore and build resources in BigQuery. You can also begin exploring this book’s GitHub repository (https://github.com/PacktPublishing/Data-Exploration-and-Preparation-with-BigQuery) so that you can browse and download diagrams and code snippets.

In this chapter, we will revisit the Google Trends dataset we explored in Chapter 2. If you have not already, you will want to view and add the Google Trends dataset to your Google Cloud project. Visit the Google Trends dataset at https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/google-search-trends and click View Dataset; this will bring the dataset into your SQL workspace in BigQuery. You may mark the dataset as a favorite to find it easier. You can expand the dataset, click a table, and click Preview in the middle...

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