BigQuery for Data Warehousing

TRAMA

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.What You Will LearnDesign a data warehouse for your project or organizationLoad data from a variety of external and internal sourcesIntegrate other Google Cloud Platform services for more complex workflowsMaintain and scale your data warehouse as your organization growsAnalyze, report, and create dashboards on the information in the warehouseBecome familiar with machine learning techniques using BigQuery MLWho This Book Is ForDevelopers who want to provide business users with fast, reliable, and insightful analysis from operational data, and data analysts interested in a cloud-based solution that avoids the pain of provisioning their own servers.

SOMMARIO

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

AUTORE

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781484261859
• Dimensioni: 254 x 178 mm Ø 1060 gr
• Formato: Brossura
• Illustration Notes: XXXV, 525 p. 99 illus.
• Pagine Arabe: 525
• Pagine Romane: xxxv