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Sharding and Horizontal Scaling in MongoDB

Table of Contents Introduction to Sharding and Horizontal Scaling Why Horizontal Scaling is Important for MongoDB Sharding Architecture in MongoDB Shard Key Config Servers Mongos Setting Up Sharding in MongoDB How MongoDB...

Backup and Restore in MongoDB (mongodump, mongorestore)

Table of Contents Introduction to MongoDB Backup and Restore Why Backup and Restore are Crucial in MongoDB mongodump: Backing Up MongoDB Data What is mongodump? How to Use mongodump Options...

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Schema Definition and Validation with Mongoose

Table of Contents Introduction to Mongoose Schema Defining a Mongoose Schema Mongoose Schema Types Setting Default Values Mongoose Validation Built-in Validation Custom Validation Async Validation Validating Arrays and Nested Objects Required Fields and Field...

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MongoDB with Mongoose ORM

Table of Contents Introduction to Mongoose What is an ORM (Object Relational Mapping)? Setting Up Mongoose Defining Mongoose Models CRUD Operations Using Mongoose Create (insertOne, insertMany) Read (findOne, find) Update (updateOne, updateMany) Delete...

CRUD Operations in Node.js with MongoDB (with Code Examples)

Table of Contents Introduction What is CRUD? Setting Up the Project Connecting to MongoDB Create Operation (insertOne, insertMany) Read Operation (findOne, find) Update Operation (updateOne, updateMany) Delete Operation (deleteOne, deleteMany) Error Handling &...

MongoDB with Node.js Using the Official Driver

Table of Contents Introduction Why Use the Official MongoDB Driver? Installing MongoDB Driver for Node.js Connecting to MongoDB (Local and Atlas) CRUD Operations with the MongoDB Driver Using Connection Pooling Error...

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Control Flow in JavaScript

Mastering Control Flow in JavaScript Control flow is an essential concept in programming. It dictates how your program decides which block of code to execute...

Variables and Data Types in JavaScript

Understanding Variables and Data Types in JavaScript In this module, we will cover two of the most fundamental concepts in JavaScript: variables and data types....

Introduction to JavaScript

What is JavaScript? A Complete Beginner’s Guide JavaScript is one of the most powerful and versatile programming languages used in the world of web development....

Case Studies and Real-World Projects in Data Science

From Learning to Doing At this stage, you’ve covered the essential theory, tools, and workflows needed to become a data scientist. The next step is...

Introduction to Model Deployment and MLOps

Beyond Model Building Building a high-performing machine learning model is only part of the journey. In the real world, models need to be deployed, monitored,...

Introduction to Big Data and Distributed Computing

Why Big Data? As organizations generate massive volumes of data—from user interactions, IoT sensors, financial transactions, and more—traditional tools like pandas or Excel become insufficient...

Natural Language Processing (NLP) and Text Data

What is NLP? Natural Language Processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling machines...

Recurrent Neural Networks (RNNs) and Time Series Data

Introduction to Sequence Modeling Traditional neural networks assume that all inputs and outputs are independent of each other. While this works well for tasks like...

Convolutional Neural Networks (CNNs) for Image Recognition

Why CNNs? When dealing with image data, traditional neural networks often fall short. Each image pixel becomes a separate input, leading to an explosion in...

Introduction to Neural Networks and Deep Learning

What is a Neural Network? A neural network is a computational model inspired by the way biological neural networks in the human brain work. It...

Model Evaluation Techniques and Metrics

Why Evaluate a Model? Once you’ve trained a machine learning model, it’s crucial to assess how well it performs. This step helps you understand if...

Hyperparameter Tuning and Model Optimization

What Are Hyperparameters? In machine learning, hyperparameters are the external configurations that control the learning process. These parameters are set before training and can significantly...