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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

Loading data from GCS to BigQuery

In the previous chapter, we loaded data into BigQuery from a local file. This time, we will upload our data source into Google Cloud Storage (GCS) and load it into BigQuery from GCS.

Uploading data files to Google Cloud Storage

If you do not already have a Cloud Storage bucket, create one now:

  1. Visit Cloud Storage in the Cloud console: https://console.cloud.google.com/storage/browser.
  2. Click CREATE to create a new bucket.

Figure 12.3 – Create a Cloud Storage bucket

  1. Give the bucket a name and location type, set the storage class and protection tools, and click CREATE.

Note

During this step of creating a storage bucket, you can accept all the defaults. Keep in mind it is best to keep your storage bucket in the same region as your BigQuery dataset.

  1. After your bucket has been created, add the data files by clicking UPLOAD FILES.
  2. Select the dataset CSV file we are using...
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