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MongoDB and Document Database Design
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A practical book about building document-oriented systems with MongoDB. It covers document modeling, embedding vs referencing, indexes, aggregation, transactions, validation, backups, scaling, and operational trade-offs. Read with a project in mind. Each chapter gives enough detail to build a small slice, test it, and understand how it behaves in production.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: What Document Databases Solve02Chapter 2: Documents Collections and BSON Types03Chapter 3: Embedding vs Referencing04Chapter 4: Schema Validation and Versioning05Chapter 5: Find Queries and Projections06Chapter 6: Index Design for Query Patterns07Chapter 7: Aggregation Pipelines08Chapter 8: Text Search and Atlas Search Basics09Chapter 9: Transactions and Consistency Trade-Offs10Chapter 10: Unique Constraints and Idempotency11Chapter 11: Data Lifecycle and TTL Indexes12Chapter 12: Security Roles and Field-Level Controls13Chapter 13: Replication Sharding and Capacity Planning14Chapter 14: Backups Restore and Point-in-Time Recovery15Chapter 15: Monitoring Slow Queries and Hot Collections16Chapter 16: Capstone Document-Based Commerce API17Appendix A: Implementation Checklist18Appendix B: Production Readiness Review19Appendix C: Common Mistakes and Fixes20Appendix D: Capstone Project Guide
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