You're reading from Data Exploration and Preparation with BigQuery

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781805125266

Pages 264 pages

Edition 1st Edition

Languages

Concepts

Data Analysis

Author (1):

Mike Kahn

Table of Contents (21) Chapters

Preface

1. Part 1: Introduction to BigQuery

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

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Future directions

As we continue the final chapter of Data Exploration and Preparation with BigQuery, it is essential to turn our attention to the horizons of what lies ahead. The field of data exploration, preparation, and analytics is in a state of constant evolution, and BigQuery continues to be at the forefront of these innovations.

BigQuery is becoming more of a platform for all data services. For example, you can run SQL and Spark workloads from BigQuery using serverless DataProc. Data quality, profiling, and lineage on BigQuery tables can be done with Dateplex. Remote machine learning models that run on Vertex AI can be executed directly from BigQuery Studio with SQL. BigQuery as a platform will continue to evolve. In this section, we will explore the future directions and emerging trends that will shape the path of data analysis and decision-making with BigQuery.