کتاب Google Cloud Platform: Cloud Spanner Database Setup and Management (for Global Financial Services) با فرمت AZW3 برای کتابخوان کیندل و فرمت EPUB

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره Google Cloud Platform: Cloud Spanner Database Setup and Management (for Global Financial Services)

موضوع کلی: برنامه نویسی

موضوع میانی: Google Cloud Platform (GCP)

📋 سرفصل‌های دوره

• 1. Introduction to Google Cloud Platform for Financial Services
• 2. Understanding the Global Challenges of Financial Data
• 3. Why Cloud Spanner for Global Financial Services?
• 4. Spanner's Unique Architecture: Global Scale and Consistency
• 5. GCP Project Structure and Resource Hierarchy
• 6. Identity and Access Management (IAM) Fundamentals for GCP
• 7. Setting Up Billing Accounts and Budgets for Spanner
• 8. GCP Networking Basics: VPCs and Subnets
• 9. Introduction to Cloud Spanner Instances and Databases
• 10. Spanner Processing Units vs. Nodes Explained
• 11. Regional and Multi-Regional Spanner Configurations
• 12. Understanding Spanner's ACID Properties
• 13. Global Distributed Transactions in Spanner
• 14. Spanner Data Model: Tables, Rows, Columns
• 15. Choosing Primary Keys for Optimal Performance
• 16. Interleaved Tables: Optimizing Co-located Data Access
• 17. Spanner Data Types and Their Usage
• 18. Creating Secondary Indexes for Efficient Queries
• 19. Storing Columns in Secondary Indexes
• 20. Schema Design Best Practices for Financial Ledgers
• 21. Designing Schemas for High-Velocity Trading Data
• 22. SQL for Cloud Spanner: DDL Statements
• 23. SQL for Cloud Spanner: DML Statements
• 24. Data Definition Language (DDL) Transactions
• 25. Creating a Spanner Instance via Google Cloud Console
• 26. Creating a Spanner Instance via gcloud CLI
• 27. Provisioning a Multi-Regional Spanner Instance
• 28. Creating Your First Spanner Database
• 29. Connecting to Spanner from gcloud CLI
• 30. Connecting to Spanner with Client Libraries (Java/Python)
• 31. Basic Data Insertion and Retrieval
• 32. Performing Batch Inserts and Updates
• 33. Read-Write Transactions in Spanner
• 34. Read-Only Transactions for Low Latency Reads
• 35. Partitioned Reads for Large Data Scans
• 36. Understanding Spanner's External Consistency
• 37. Data Import Strategies: Using Dataflow
• 38. Exporting Spanner Data to Cloud Storage
• 39. Data Lifecycle Management with Spanner
• 40. Securing Spanner Instances with IAM Roles and Permissions
• 41. Granular Access Control for Spanner Databases
• 42. Data Encryption at Rest: Google-Managed and CMEK
• 43. Data Encryption in Transit for Spanner Connections
• 44. Network Security: Private IP and VPC Service Controls (VPC SC)
• 45. Protecting Spanner with Shared VPC
• 46. Implementing Private Service Connect for Spanner
• 47. Audit Logging for Cloud Spanner Activities
• 48. Ensuring Compliance with PCI DSS for Payment Data
• 49. GDPR and Data Residency Requirements for Spanner
• 50. SOX Compliance and Spanner Data Integrity
• 51. Basel III and Regulatory Reporting with Spanner
• 52. Data Sovereignty Considerations in Spanner Deployments
• 53. Monitoring Spanner Performance with Cloud Monitoring
• 54. Key Spanner Metrics: CPU Utilization, Read/Write Latency
• 55. Creating Custom Dashboards for Spanner Operations
• 56. Setting Up Alerts for Critical Spanner Events
• 57. Analyzing Query Plans with EXPLAIN
• 58. Identifying and Resolving Query Performance Bottlenecks
• 59. Schema Design for Avoiding Hotspots
• 60. Optimizing Secondary Index Usage
• 61. Understanding Spanner's Auto-Scaling Capabilities
• 62. Manual Scaling of Spanner Processing Units
• 63. Capacity Planning for Financial Workloads
• 64. High Availability (HA) Architecture for Spanner
• 65. Spanner Backup and Restore Fundamentals
• 66. Performing Scheduled Backups for Spanner Databases
• 67. Restoring a Spanner Database from a Backup
• 68. Point-in-Time Recovery (PITR) for Accidental Deletions
• 69. Designing a Disaster Recovery (DR) Strategy for Spanner
• 70. Cross-Region Replication and RPO/RTO for Financial Services
• 71. Integrating Spanner with Java Applications
• 72. Integrating Spanner with Python Applications
• 73. Using Spanner with Popular ORM Frameworks
• 74. Real-time Data Pipelines with Dataflow and Spanner
• 75. Change Data Capture (CDC) from Spanner via Pub/Sub
• 76. Integrating Spanner with BigQuery for Analytics
• 77. Connecting Spanner Data to BI Tools like Looker
• 78. Migrating from Traditional RDBMS to Cloud Spanner
• 79. Assessing Schema Compatibility and Refactoring
• 80. Data Migration Tools and Methodologies for Spanner
• 81. Zero-Downtime Migration Strategies for Critical Workloads
• 82. Migrating Financial Ledgers to Spanner
• 83. Advanced Spanner Transactions: Two-Phase Commit
• 84. Understanding Spanner's Lock-Free Read Concurrency
• 85. Global Transaction Ordering and Timestamp Management
• 86. Implementing Complex Financial Logic in Spanner
• 87. Designing a Globally Distributed Payment Processing System
• 88. Spanner for Real-time Fraud Detection Systems
• 89. Building Trading Platforms with Spanner's Low Latency Reads
• 90. Managing Market Data at Scale with Spanner
• 91. Regulatory Reporting Database Architectures on Spanner
• 92. Handling High Concurrency for Financial Workloads
• 93. Cost Optimization Strategies for Cloud Spanner
• 94. Monitoring and Managing Spanner Costs
• 95. Best Practices for Spanner Administration in Enterprise
• 96. Troubleshooting Common Spanner Issues
• 97. Spanner Emulator for Local Development and Testing
• 98. Future Trends in Cloud Databases for Finance
• 99. Spanner's Role in Next-Gen Financial Applications
• 100. Case Studies: Successful Spanner Implementations in Finance