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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

Hands-on exercise – data loading and transformation in BigQuery

To assist with your learning of the concepts in this chapter, we will take you through a hands-on example, including loading data from a local file and preparing some basic transformations on the table data. This hands-on exercise will prepare you for loading your own data in the future and give you experience of doing some basic processing of that data. We will follow a scenario that utilizes a traffic collision dataset. This example and the scenario will build in the future chapters. Follow along by reading the scenario and following it step by step in your Google Cloud console. It may be useful to do a little role-playing here, as follows!

Understanding the scenario

Consider yourself as the Head of Data Analytics for the company described in this scenario. Your company is building a service to reduce users’ cellphone usage while driving. The company’s data team is just beginning to bring in...

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