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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

Extending your data

In the world of data analytics and decision-making, having access to comprehensive and enriched datasets is crucial. The ability to extend data by incorporating external sources, using machine learning, and augmenting it with additional context can unlock new insights and empower organizations to make more informed decisions. In this chapter, we are exploring the techniques and strategies for extending data in BigQuery. This section equips data analysts and engineers with the tools and knowledge to extend their datasets and extract deeper value from their data.

BigQuery ML

BigQuery ML or BQML is a machine learning service that can be used to build and deploy machine learning models in BigQuery using SQL queries. BigQuery ML allows data analysts with limited programming expertise the ability to build models using their existing SQL expertise. This capability in BigQuery allows teams and organizations with limited data science resources the ability to use machine...

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