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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

An Overview of Data Preparation Tools

Data preparation involves transforming, cleaning, and structuring data to ensure its quality and suitability for analysis. Taking the time to learn about the options and perform data preparation on your BigQuery data will enhance the accuracy of your analysis. In this chapter, we will explore various approaches and tools that can be used in conjunction with BigQuery to streamline your data preparation workflow and improve data quality.

The tools we will go over in this chapter have capabilities for data transformation, cleaning, and enrichment, enabling you to unlock the greatest potential of your data and derive meaningful insights for decision-making. By understanding and utilizing these data preparation tools, you will be equipped with the necessary techniques to handle diverse data sources, address data quality issues, and prepare your data, setting yourself up for the most effective possible analysis in BigQuery.

In this chapter, we...

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