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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 in BigQuery

In this chapter, we will review various ways to explore your data in BigQuery and introduce the practice of data exploration. We will review examining tables and data in the BigQuery web UI, the BigQuery bq command-line interface, and exploring data with visualization tools. After learning about the different methods to access your data in BigQuery, this chapter will outline the best practices and approaches to get started.

Completing this chapter will establish a strong foundation for the topics covered in the remainder of this book. We are going to compare common data exploration techniques and begin writing SQL queries to interact with data in BigQuery. After reading this chapter, you will be prepared to start your journey of data exploration and preparation. You will be equipped to begin integrating your data in BigQuery to accelerate your data analysis capabilities and build a strong data analytics practice for yourself or your organization.

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