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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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Toc

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

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.

More integration with AI and ML

AI and ML are increasingly becoming integral to data analytics. BigQuery...

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