
Develop a basic CRUD application using ASP.NET Core 3.0 MVC and MongoDB, following a step-by-step tutorial to create, read, update, and delete data in a web-based environment.

Streamline MongoDB management in VS Code with the new extension. Connect, explore, query, and optimize your data model alongside your code for enhanced development efficiency.

Learn to set up and use MongoDB with Docker in IntelliJ IDEA. Covers container creation, data insertion, MongoDB shell access, and Docker Compose setup for efficient database management and application development.

Explore NoSQL databases for Java projects, including JNoSQL API and its benefits for handling big data. Practical demonstration included.

Comprehensive guide to building a full-stack application using Next.js, MongoDB, and Appwrite. Learn user authentication, middleware, deployment, and integration of various technologies.

Learn to implement full-text search in Couchbase with Laurent Doguin. Explore document store databases, scaling, NextJS integration, SQL searches, and deployment strategies for efficient data management.

Explore Quine, an open-source streaming graph solution for efficient event stream interpretation, offering real-time query answers and scalability to millions of events per second.

Experts discuss challenges and solutions in implementing MongoDB on IBM LinuxONE, focusing on sustainability, security, and scalability benefits for enterprises.

Discover how to optimize Redis containers by removing unnecessary components while maintaining functionality, enhancing security and performance in the process.

Comprehensive overview of essential AWS services for backend engineers, covering compute, storage, databases, networking, security, and serverless options.

Discover how Neo4j knowledge graphs enhance GenAI accuracy through GraphRAG, offering superior context for LLMs. Learn to build graphs from Databricks data for improved AI experiences and business solutions.

Learn MongoDB basics and NoSQL authentication bypass techniques using PortSwigger labs. Enhance your cybersecurity skills with practical examples and expert guidance.

Explore the power of MEAN Stack: Angular, ExpressJS, and MongoDB. Learn about its speed, ease of development, reactivity, and scalability for building robust web applications.

Learn to build powerful web applications using Node.js and Express.js in the MEAN stack. Explore advantages like speed, scalability, and asynchronous operations for efficient development.

Comprehensive guide to MongoDB, covering basics to advanced topics, including integration with Node.js and frontend development for efficient database management and data retrieval.

Explore FoundationDB's Redwood storage engine: features, performance, and future optimizations for improved I/O throughput and reduced disk footprint.

Explore Linux performance analysis tools for FoundationDB, focusing on identifying bottlenecks and potential improvements in client libraries and server components like the Redwood storage engine.

Explore Irmin's integration with FoundationDB as a storage engine, highlighting benefits, implementation challenges, and potential applications in distributed database systems.

Strategies for backing up and restoring multi-petabyte FoundationDB clusters, including real-world examples of catastrophic failures and recovery methods using FDBDR and Linux filesystem snapshots.

Explore Goldman Sachs' evaluation of FoundationDB for financial services, discussing its potential to replace SecDB, their in-house trading and risk management database system.

Explore Netflix's massive Cassandra deployment architecture, tools, and strategies for running, certifying, benchmarking, monitoring, and testing large-scale distributed backends at global scale.