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Data Exploration and Preparation with BigQuery

You're reading from  Data Exploration and Preparation with BigQuery

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781805125266
Pages 264 pages
Edition 1st Edition
Languages
Author (1):
Mike Kahn Mike Kahn
Profile icon Mike Kahn
Toc

Table of Contents (21) Chapters close

Preface 1. Part 1: Introduction to BigQuery
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 CSV data files from local upload

In this example scenario, we will load three advertising and sales data sources into a dataset in BigQuery for analysis. Each data source CSV file will be loaded manually through a single batch job. Loading CSV files has the advantage of being an easy process, as they can be loaded from local upload or Google Cloud Storage.

This approach has disadvantages as well. First, the data will only be from a snapshot or a moment in time, and second, it is a manual operation – it needs to be done by an individual. Beyond this example, with moment-in-time data, you may consider setting up streaming ingestion when possible for automated data loading. Many common advertising or marketing services support integration with BigQuery to handle data loading and updates for you. For additional information on loading data into BigQuery, review Chapter 4, Loading and Transforming Data.

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