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Data Exploration and Preparation with BigQuery

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
Author (1):
Mike Kahn Mike Kahn
Profile icon Mike Kahn
Toc

Table of Contents (21) Chapters close

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 20. Other Books You May Enjoy

Data preparation tools

BigQuery integrates with various data preparation tools, allowing you to enhance your data preparation workflow. In this section, we will explore some of the popular data preparation tools that can be used with BigQuery. These tools can help to reduce the time and effort required to prepare data, along with improving the accuracy of the data preparation process.

Visual data preparation tools

Google Cloud Dataprep (https://cloud.google.com/dataprep) is a visual, web-based data preparation tool that enables you to explore, clean, and transform data. It offers a wide range of data transformation capabilities allowing you to perform tasks such as data cleansing, deduplication, and data enrichment. Dataprep is easy for you to navigate through the data preparation process without the need for coding. Dataprep has native integration with Google Cloud services such as Google Cloud Storage, Dataflow, Sheets, and BigQuery. The native integrations enable you to import...

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