BigQuery for Data Warehousing: Managed Data Analysis in the Google Cloud Mark Mucchetti

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Product details:

• ISBN-10 ‏ : ‎ 1484261852
• ISBN-13 ‏ : ‎ 978-1484261859
• Author: Mark Mucchetti

Create a data warehouse, complete with reporting and dashboards using Google’s BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization.
BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities. Part I of this book shows you how to design and provision a data warehouse in the BigQuery platform. Part II teaches you how to load and stream your operational data into the warehouse to make it ready for analysis and reporting. Parts III and IV cover querying and maintaining, helping you keep your information relevant with other Google Cloud Platform services and advanced BigQuery. Part V takes reporting to the next level by showing you how to create dashboards to provide at-a-glance visual representations of your business situation. Part VI provides an introduction to data science with BigQuery, covering machine learning and Jupyter notebooks.

Table of contents:

Part I. Building a Warehouse

1. Settling into BigQuery

2. Starting Your Warehouse Project

3. All My Data

4. Managing BigQuery Costs

Part II. Filling the Warehouse

5. Loading Data into the Warehouse

6. Streaming Data into the Warehouse

7. Dataflow

Part III. Using the Warehouse

8. Care and Feeding of Your Warehouse

9. Querying the Warehouse

10. Scheduling Jobs

11. Serverless Functions with GCP

12. Cloud Logging

Part IV. Maintaining the Warehouse

13. Advanced BigQuery

14. Data Governance

15. Adapting to Long-Term Change

Part V. Reporting On and Visualizing Your Data

16. Reporting

17. Dashboards and Visualization

18. Google Data Studio

Part VI. Enhancing Your Data’s Potential

19. BigQuery ML

20. Jupyter Notebooks and Public Datasets

21. Conclusion

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