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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

Using Colab notebooks

Colab notebooks, powered by Google Colaboratory, are another powerful and convenient tool for data exploration and analysis. Colab notebooks provide a cloud-based environment that allows you to write and execute code, collaborate with others, and utilize powerful hardware resources, all without the need for any setup or installation.

Google Colab is a free online Jupyter Notebook environment that runs on Google’s cloud infrastructure. It allows you to write and run Python code, as well as other languages such as R and Julia. Colab is a powerful tool for data analysis, machine learning, and education.

One of the key advantages of Colab notebooks is its collaboration features. You can share your notebooks with others, allowing them to view and edit your code and analysis in real time. This makes it easy to work on data exploration projects as a team, facilitating collaboration and knowledge sharing. Sharing Colab notebooks is similar to sharing a Google...

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