The Official MongoDB Guide by Rachelle Palmer, Jeffrey Allen, Parker Faucher ISBN 9781837021970, 183702197X instant download

The Official MongoDB Guide by Rachelle Palmer, Jeffrey Allen, Parker Faucher ISBN 9781837021970, 183702197X instant download

The official guide to MongoDB architecture, tools, and cloud features, written by leading MongoDB subject matter experts to help you build secure, scalable, high-performance applications Key Features: - Design resilient, secure solutions with high performance and scalability - Streamline development with modern tooling, indexing, and AI-powered workflows - Deploy and optimize in the cloud using advanced MongoDB Atlas features - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB's top subject matter experts, so you learn proven best practices directly from those who know the technology inside out. This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively. Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search. By the end of this book, you'll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology. What You Will Learn: - Build secure, scalable, and high-performance applications - Design efficient data models and indexes for real workloads - Write powerful queries to sort, filter, and project data - Protect applications with authentication…