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The Six Principles for Building Robust Yet Flexible Shared Data Applications
Learn how to build robust yet flexible shared data applications which don't break when data model changes occur, to rapidly meet new business requirements.
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MongoDB Schema Design Best Practices
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Database Automation Series - Automated Indexes
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A Summary of Schema Design Anti-Patterns and How to Spot Them
Get a summary of the six MongoDB Schema Design Anti-Patterns. Plus, learn how MongoDB Atlas can help you spot the anti-patterns in your databases.
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Case-Insensitive Queries Without Case-Insensitive Indexes
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Case-Insensitive Queries Without Case-Insensitive Indexes
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Bloated Documents
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Bloated Documents
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Unnecessary Indexes
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Unnecessary Indexes
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Massive Number of Collections
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Massive Number of Collections
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Massive Arrays
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Massive Arrays
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GraphQL: The Easy Way to Do the Hard Stuff
We'll do the hard stuff the easy way by starting only with data and building out an entire site using GraphQL.
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Separating Data That is Accessed Together
Don't fall into the trap of this MongoDB Schema Design Anti-Pattern: Separating Data That is Accessed Together
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Mapping Terms and Concepts from SQL to MongoDB
Learn how SQL terms and concepts map to MongoDB.