Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud by Mucchetti, Mark
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Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud by Mucchetti, Mark

Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud

Apress
Price:
$49.99

Description

Part I. Building a Warehouse1. Settling into BigQuery 2. Starting Your Warehouse Project 3. All My Data 4. Managing BigQuery Costs Part II. Filling the Warehouse5. Loading Data Into the Warehouse6. 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 Governance15. Adapting to Long-Term Change Part V. Reporting On and Visualizing Your Data 16. Reporting17. Dashboards and Visualization 18. Google Data Studio Part VI. Enhancing Your Data's Potential19. BigQuery ML 20. Jupyter Notebooks and Public Datasets 21. Conclusion 22. Appendix A: Cloud Shell and Cloud SDK 23. Appendix B: Sample Project Charter


Author: Mark Mucchetti
Publisher: Apress
Published: 10/01/2020
Pages: 525
Binding Type: Paperback
Weight: 2.13lbs
Size: 10.00h x 7.00w x 1.14d
ISBN13: 9781484261859
ISBN10: 1484261852
BISAC Categories:
- Computers | Database Administration & Management

About the Author
Mark Mucchetti is an industry technology leader in healthcare and ecommerce. He has been working with computers and writing software for over 30 years, starting with BASIC and Turbo C on an Intel 8088 and now using Node.js in the cloud. He has been building and managing technology groups for much of that time, combining his deep love of technical topics with his management skills to create world-class platforms. Mark has also worked in databases, release engineering, front- and back-end coding, and project management. He believes that the best decisions are made with the best data available, and that BigQuery is a great technology to increase the value and accessibility of data for business leaders on a day-to-day basis. He has seen the transformation that accurate, timely data has on an organization's ability to succeed, and wants to bring that knowledge to the world in a people-first way.