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The cost of not knowing MongoDB (V5RX) - Part 2
Discover the power of MongoDB schema optimization in the second part of The Cost of Not Knowing MongoDB series. This deep dive explores the impact of different data modeling approaches, focusing on the Bucket Pattern and Computed Pattern to enhance query performance and storage efficiency. Learn how grouping data by month or quarter can significantly reduce index size and improve read operations, while pre-computing aggregations can optimize reporting. With real-world benchmarks, load test results, and practical TypeScript code, this guide demonstrates how strategic schema design can maximize MongoDB’s potential.Jan 29, 2025
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Building with Patterns: The Single Collection Pattern
This blog post series examines the common Schema Design Patterns that work well in MongoDB.Jan 27, 2025
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Building REST APIs With API Platform and MongoDB
Learn how to build modern, scalable REST APIs using API Platform with Symfony and MongoDB. This step-by-step guide covers everything from setting up a Symfony project and integrating MongoDB Atlas to performing CRUD operations and implementing custom validation. Discover how API Platform streamlines API development with robust features like OpenAPI documentation, advanced search, and data integrity enforcement. Perfect for developers looking to efficiently manage real-time database interactions and create high-performance web applications.Jan 14, 2025
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Spring Data Unlocked: Performance Optimization Techniques With MongoDB
Discover the journey of mastering MongoDB with Spring Data! In Part 1, we explored the basics, including MongoTemplate vs. MongoRepository. Part 2 took us deeper into advanced queries and Spring's powerful features. Now, in Part 3, we'll focus on optimizing your application with strategies like read preferences and indexingDec 04, 2024
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Java vs Kotlin: Different Syntax, Same Possibilities
In this article, we’ll cover how to use some MongoDB features, and compare and contrast how they look and feel in Kotlin and Java.Nov 25, 2024
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The Cost of Not Knowing MongoDB
The focus of this series is to show how much performance you can gain when using MongoDB properly, following the best practices, studying your application needs, and using it to model your data.Nov 11, 2024
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Building a Quarkus Application to Perform MongoDB Vector Search
This article explores building a Quarkus application using MongoDB's vector search for smarter, context-aware search results. We'll cover generating embeddings with Gemini AI and creating a vector index in MongoDB. Learn how to enhance your application's search capabilities with this modern approach.Oct 07, 2024
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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 IndexesOct 01, 2024