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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

Using Cloud Dataprep for visual cleansing and transformation

Visual data preparation tools provide an alternative to SQL-driven data preparation. These tools offer a graphical user interface (GUI) that allows data analysts and business users to interactively visualize, clean, and transform data without extensive SQL knowledge. In this section, we will go over Cloud Dataprep so that you have an additional option to clean and transform your data in BigQuery.

Previously introduced in Chapter 8, An Overview of Data Preparation Tools, Cloud Dataprep, by Trifacta, is a data preparation tool that simplifies the process of cleaning and transforming data. It provides a visual interface that automatically suggests transformations, detects data quality issues, and offers smart recommendations to enhance the data cleansing process. Users can interactively explore the data, apply wrangling steps, and preview the transformed data in real time before committing to existing or new tables. Let&...

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