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 Datas 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
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