#MongoDB​
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jenny-astor · 1 month ago
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mydbops · 1 month ago
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giniskills · 1 month ago
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𝐘𝐨𝐮𝐫 𝐓𝐞𝐜𝐡 𝐂𝐚𝐫𝐞𝐞𝐫 𝐒𝐭𝐚𝐫𝐭𝐬 𝐇𝐞𝐫𝐞!
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿?
The tech world is booming, and skilled developers are in high demand! Learn both frontend & backend development and step into a high-paying career.
𝐖𝐡𝐚𝐭 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧: ✅ Frontend: HTML, CSS, JavaScript, React ✅ Backend: Node.js, Express, MongoDB ✅ Real-world projects & hands-on training
Don’t just dream about coding—make it your profession!
Transforming Passion into Profession!
✆ 𝗖𝗮𝗹𝗹/𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 on +𝟵𝟭-𝟴𝟰𝟱𝟱𝟬 𝟮𝟭𝟬𝟵𝟬 🌐 𝗪𝗲𝗯: www.giniskills.com
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doughcatball · 10 months ago
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another page on my site! this is the most advanced one, and probably the last for a while as i switch over to gamedev for the summer!!
on this page you can search for specific characters, other artists who have drawn my characters, and lots of other tags i painstakingly added manually lmao
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briskwinits · 1 year ago
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With SQL Server, Oracle MySQL, MongoDB, and PostgreSQL and more, we are your dedicated partner in managing, optimizing, securing, and supporting your data infrastructure.
For more, visit: https://briskwinit.com/database-services/
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wintechaditya · 2 years ago
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Started Youtubing
Hello friends my name is Aditya Kumar Currently Studing INFORMATION TECHNOLOGY from Marwari College Ranchi Jharkhand INDIA.. I dont know how to make a best Content i feel i need guidance so help me my friends. Its my youtube Channel link: https://www.youtube.com/channel/UCNyU3jd7-U7ShN2rRpCVriA I uploaded some shorts on Node JS review it my friends ....
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codeonedigest · 2 years ago
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(via Spring Boot Microservices + MongoDB in Docker Containers | Step by step tutorial for Beginners)
Full Video Link:    https://youtu.be/qWzBUwKiCpM
Hi, a new #video on step by step #tutorial for #springboot #microservices running in #docker #container with #mongodb also running in #docker #container is published on #codeonedigest #youtube channel. Easy guide for spring boot microservices project with mongodb in container.
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onnkelvezenn · 7 months ago
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As a dev, can confirm.
I've used multiple dev- or sysadmin-oriented software without understanding what they were for, but they were needed by some other parts of the system.
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freshyblog07 · 1 day ago
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Why Choose MongoDB Node.js for Web Development?
Using MongoDB Node.js in your projects enables fast data access, real-time processing, and seamless JSON handling. This duo is particularly popular for building RESTful APIs, single-page applications (SPAs), and data-driven web services.
JSON Everywhere: MongoDB stores data in BSON (a JSON-like format), and Node.js works seamlessly with JSON. This reduces the need for data transformation and simplifies backend development.
Asynchronous and Non-blocking I/O: Node.js handles multiple requests concurrently without blocking the thread. When paired with MongoDB’s asynchronous operations, this results in faster and more efficient applications.
High Performance at Scale: MongoDB’s document-based model is ideal for handling large amounts of unstructured or semi-structured data. Combined with Node.js, it can support high-throughput applications.
Easy Integration: The official MongoDB Node.js driver makes it easy to connect and interact with your database. Plus, popular frameworks like Express.js enhance the development experience.
Active Ecosystem: Both MongoDB and Node.js have large developer communities and strong documentation, which means better support and faster troubleshooting.
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bliiot-jerry · 2 days ago
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ARMxy ARM based SBC with MongoDB Database for Energy Management Systems
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Case Details
1. Solution Background
Under the construction of new power systems, energy management systems face:
Massive heterogeneous device integration (smart meters, PV inverters, etc.)
High-frequency data acquisition requirements (millisecond to second level)
Distributed edge computing node deployment demands
Multi-source data fusion analysis challenges
2. Technology Selection Rationale
1. Advantages of ARM Industrial Computers
Outstanding Energy Efficiency: Cortex-A series processors consume <15W, suitable for 7×24 operation
Environmental Adaptability: Wide-temperature design (-40℃~85℃), EMI resistance
Rich Interfaces: Supports industrial protocols like RS-485/Modbus/OPC UA
Cost Benefits: 40%-60% hardware cost reduction compared to x86 platforms
2. Core Value of MongoDB
Time Series Processing: Native time series collections enable efficient storage compression
Schema Flexibility: Dynamically adapts to device data format changes
Distributed Architecture: Supports three-tier data flow from edge to cloud
Geospatial Computing: Enables topology analysis for distributed energy stations
3. System Architecture Design
1. Overall Topology
Edge Layer → Regional Layer → Cloud Center │ │ │ Device Access Data Aggregation Intelligent Analysis │ │ │ ARM Nodes ARM Cluster x86 Cluster
2. Core Functional Modules
TierComponentTechnical ImplementationEdgeData AcquisitionIndustrial computer Modbus parsing      Local StorageMongoDB sharded clusterRegionalData CleansingAggregation pipeline preprocessing         Cache QueueChange Stream real-time streamingCloudDigital TwinSpatiotemporal data modeling       Predictive AnalyticsAggregation framework + ML integration
4. Key Implementation Considerations
1. Data Governance Strategy
Hierarchical Storage
Raw Data: 30-day retention at edge nodes
Feature Data: 1-year retention at regional centers
Aggregated Data: Permanent cloud storage
Quality Assurance
Schema Validation for format constraints
Oplog-based resume from interruption
NTP-synchronized timestamps
2. Performance Optimization
Storage Optimization
Automatic bucketing for time series collections
ZSTD compression (6:1 ratio)
TTL auto-expiration policies
Query Acceleration
Composite indexes (Device ID + Timestamp)
Pre-aggregated common metrics
Covered index optimization
3. High Availability Design
Edge Layer Disaster Recovery
3-node replica set (2 ARM + 1 arbiter)
Automatic failover (<30s)
Daily incremental snapshots
Cross-tier Synchronization
Change Stream monitoring
Idempotent write operations
Bandwidth-adaptive configuration
5. Typical Application Scenarios
1. Distributed PV Monitoring
Requirements: 2000+ string inverters, 80+ parameters/sec 15-minute power prediction
Highlights:
Edge node real-time irradiance-power conversion
60% storage savings with time series data
Geospatial analysis for O&M optimization
2. Smart Substation Management
Requirements: 500+ temperature/humidity sensors, millisecond-level alerts Equipment health assessment
Highlights:
Dynamic document storage for lifecycle data
Time series anomaly detection (3σ algorithm)
3D thermal visualization
6. Implementation Roadmap
Pilot Phase (1-2 months)
Deploy 3-node cluster at test sites
Validate data integrity & consistency
Stress testing (5,000 simulated devices)
Regional Expansion (3-6 months)
Develop edge node auto-configuration tools
Establish cross-regional data channels
Implement security hardening (SM cryptographic algorithms)
Full Deployment (6-12 months)
Build unified monitoring platform
Develop smart analytics model library
Obtain Classified Protection Level 3 certification
7. Risk Mitigation Strategies
Hardware Risks
Dual power redundancy
Hardware watchdog chips
SoC temperature monitoring
Data Risks
WiredTiger CRC validation
Journal persistence
Regular db.hashCheck()
Network Risks
VPN+TLS dual encryption
Traffic shaping policies
Network quality probes
This solution has been successfully deployed in a provincial grid company, achieving:
2 billion daily energy data transactions
Sub-200ms anomaly response
75% O&M cost reduction
Annual energy savings exceeding ¥12 million
The ARM+MongoDB architecture provides cost-effective, scalable, and real-time infrastructure support for energy industry digital transformation.
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rlogical · 10 days ago
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Why is the MERN Stack Dominating Modern Web Development?
Choosing the right tech stack is one of the most important decisions in any web development project — and MERN Stack has earned its place as a favorite for startups and enterprises alike.
💡 Why developers & businesses prefer MERN:
🔹 Full JavaScript Stack: One language from front-end to back-end simplifies development, speeds up project delivery, and reduces learning curves.
🔹 Scalable & Flexible: MongoDB’s schema-less NoSQL design allows smooth scalability as your project grows.
🔹 Performance-Driven: Node.js handles asynchronous requests with exceptional speed, boosting performance for real-time applications.
🔹 Component-Based Architecture: React helps create reusable UI components, resulting in faster, cleaner, and more maintainable code.
🔹 Strong Community Support: Backed by tech giants like Facebook (React) and open-source contributors worldwide, MERN remains future-proof and well-supported.
From eCommerce platforms and social media applications to enterprise dashboards and SaaS products — MERN Stack offers the versatility and reliability every digital project demands.
If you’re exploring tech stacks for your next web app, don’t overlook this combination! It’s fast, efficient, and perfectly aligned with modern business needs.
👉 Check out this insightful article from Rlogical Softtech to learn why MERN is a smart investment: https://www.rlogical.com/blog/for-what-reason-is-mern-stack-considered-the-best-for-developing-web-apps/
Future-ready. Developer-friendly. Business-approved.
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asadmukhtarr · 13 days ago
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Building full-stack applications with JavaScript has never been easier, thanks to the MERN Stack (MongoDB, Express.js, React.js, and Node.js). This powerful combination enables developers to build robust, scalable web applications entirely using JavaScript for both front-end and back-end development.
In this guide, we will walk you through the process of building a simple full-stack MERN app. By the end, you’ll have a working application with a React front-end that interacts with a Node.js back-end, using MongoDB for data storage. Let’s dive into the steps!
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engineers-heaven · 13 days ago
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🗂️📚 How to store and retrieve data from MongoDB? Master the techniques for efficient data management with MongoDB in modern applications.
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admecmultimedia6 · 20 days ago
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Machine Learning and AI Training in Delhi
A New Course was added by ADMEC Multimedia on Machine Learning and AI Training in Delhi. Must read out for the best AI Training in Delhi.
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mindcoders · 21 days ago
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Looking to become a Full Stack developer? Mind Coders offers the best Full Stack Development Course in Indore with hands-on training and expert guidance. Our Full Stack course covers essential technologies like HTML, CSS, React.js, MongoDB, Node.js, and JavaScript to help you build modern web applications. This Full Stack program is MSME-certified and designed for beginners and professionals.
Enhance your skills with our Full Stack development training and boost your career in web development. Join now to master the latest Full Stack technologies and become job-ready!
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briskwinits · 1 year ago
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With SQL Server, Oracle MySQL, MongoDB, and PostgreSQL and more, we are your dedicated partner in managing, optimizing, securing, and supporting your data infrastructure.
For more, visit: https://briskwinit.com/database-services/
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