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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

Exploring Data with Notebooks

In previous chapters, we have discussed the BigQuery fundamentals – design, loading and preparing data, and querying it. We will now discuss and demonstrate the use of notebooks to explore your data in BigQuery.

Workbench instances are the managed data analysis and data science notebooks provided in Google Cloud Vertex AI. Also known as Vertex AI user-managed notebooks, or notebooks, Workbench instances are a powerful tool to explore and prepare data. Notebooks allow you to run queries, visualize data, perform transformations, and execute all of your data analysis tasks in a single application. They make it easy to iterate on your analysis and quickly see the results of your progress and changes. Think of a notebook as an interactive space to create and process the various steps of data analysis in a single page, capturing history and creating visualizations, with the ability to share and easily collaborate with others.

In this chapter, we...

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