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(bangladesh )Advanced MongoDB

Track :

Programming

Lessons no : 40

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What will you learn in this course?
  • Master advanced MongoDB querying techniques for complex data retrieval and analysis using aggregation pipelines and indexing strategies
  • Implement efficient data modeling and schema design tailored for scalable, high-performance applications in MongoDB
  • Optimize MongoDB performance through indexing, sharding, and replication to ensure high availability and reliability
  • Develop and manage MongoDB databases with advanced security features, including authentication, authorization, and encryption
  • Utilize MongoDB tools and commands for effective database backup, restore, and data migration processes
  • Design and implement real-time data processing solutions using MongoDB change streams and aggregation frameworks
  • Apply best practices for managing large-scale MongoDB deployments in cloud and on-premises environments
  • Troubleshoot and resolve common performance issues and bottlenecks in advanced MongoDB setups
  • Integrate MongoDB with popular programming languages and frameworks for seamless application development
  • Leverage MongoDB's advanced features like transactions, multi-document ACID operations, and data validation
  • Create scalable, flexible data schemas that support evolving application requirements and complex data relationships
  • Implement monitoring and alerting strategies to maintain optimal MongoDB database health and performance

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Lessons | 40
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L.Deepak Reddy

Good 2025-03-14

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MongoDB is built on a scale-out architecture that has become popular with developers of all kinds for developing scalable applications with evolving data schemas. As a document database .