6 Database Types You Must Know
1. Relational Database πΌ
- Data Model: Organizes data into tables with rows and columns.
- Examples: MySQL, PostgreSQL, Oracle, SQL Server.
- Key Features: ACID compliance, strong data consistency, structured data storage, support for SQL queries, well-suited for complex transactions and reporting.
2. Document Database π
- Data Model: Stores data in semi-structured or JSON-like documents.
- Examples: MongoDB, CouchDB, Firebase Firestore.
- Key Features: Flexible schema, horizontal scalability, support for semi-structured data, well-suited for content management systems and real-time applications.
3. In-Memory Database π
- Data Model: Stores data entirely in the system's main memory (RAM).
- Examples: Redis, Memcached, Apache Ignite.
- Key Features: Ultra-fast data retrieval, low-latency, suitable for caching, session management, and real-time analytics.
4. Graph Database π
- Data Model: Represents data as nodes and edges to model relationships.
- Examples: Neo4j, Amazon Neptune, ArangoDB.
- Key Features: Efficient querying of complex relationships, graph traversal, suitable for social networks, recommendation systems, and fraud detection.
5. Time-Series Database π
- Data Model: Optimized for time-ordered data points, like sensor readings or log files.
- Examples: InfluxDB, Prometheus, TimescaleDB.
- Key Features: Efficient storage and retrieval of time-series data, aggregations, retention policies, ideal for monitoring, IoT, and event data.
6. Spatial Database π
- Data Model: Designed for storing and querying spatial or geographic data.
- Examples: PostGIS (extension for PostgreSQL), MongoDB Geospatial, Microsoft SQL Server Spatial.
- Key Features: Geospatial indexing, support for spatial data types (points, polygons, lines), useful for location-based services, GIS (Geographic Information Systems), and map applications.
1. Relational Database πΌ
- Data Model: Organizes data into tables with rows and columns.
- Examples: MySQL, PostgreSQL, Oracle, SQL Server.
- Key Features: ACID compliance, strong data consistency, structured data storage, support for SQL queries, well-suited for complex transactions and reporting.
2. Document Database π
- Data Model: Stores data in semi-structured or JSON-like documents.
- Examples: MongoDB, CouchDB, Firebase Firestore.
- Key Features: Flexible schema, horizontal scalability, support for semi-structured data, well-suited for content management systems and real-time applications.
3. In-Memory Database π
- Data Model: Stores data entirely in the system's main memory (RAM).
- Examples: Redis, Memcached, Apache Ignite.
- Key Features: Ultra-fast data retrieval, low-latency, suitable for caching, session management, and real-time analytics.
4. Graph Database π
- Data Model: Represents data as nodes and edges to model relationships.
- Examples: Neo4j, Amazon Neptune, ArangoDB.
- Key Features: Efficient querying of complex relationships, graph traversal, suitable for social networks, recommendation systems, and fraud detection.
5. Time-Series Database π
- Data Model: Optimized for time-ordered data points, like sensor readings or log files.
- Examples: InfluxDB, Prometheus, TimescaleDB.
- Key Features: Efficient storage and retrieval of time-series data, aggregations, retention policies, ideal for monitoring, IoT, and event data.
6. Spatial Database π
- Data Model: Designed for storing and querying spatial or geographic data.
- Examples: PostGIS (extension for PostgreSQL), MongoDB Geospatial, Microsoft SQL Server Spatial.
- Key Features: Geospatial indexing, support for spatial data types (points, polygons, lines), useful for location-based services, GIS (Geographic Information Systems), and map applications.
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β€1
CSS Concepts to Master:
β specificity
β pseudo-classes
β pseudo-elements
β transitions
β transformations
β animations
β opacity
β z-index
β gradients
β box-shadow
β variable (custom properties)
β @media queries
β CSS custom selectors
β calc() function
font-properties
flexbox and grid
css variables
clamp(min, val, max);
Box-model
β specificity
β pseudo-classes
β pseudo-elements
β transitions
β transformations
β animations
β opacity
β z-index
β gradients
β box-shadow
β variable (custom properties)
β @media queries
β CSS custom selectors
β calc() function
font-properties
flexbox and grid
css variables
clamp(min, val, max);
Box-model
CSS Search Icon Code:
.search {
position:relative;
font-size:5em;
width:0.5em;
height:0.5em;
border:0.1em solid black;
border-radius:50%;
&:before {
content:'';
position:absolute;
background:black;
right:-0.30em;
bottom:-0.2em;
width:0.40em;
height:0.09em;
transform: rotate(45deg);
}
.search {
position:relative;
font-size:5em;
width:0.5em;
height:0.5em;
border:0.1em solid black;
border-radius:50%;
&:before {
content:'';
position:absolute;
background:black;
right:-0.30em;
bottom:-0.2em;
width:0.40em;
height:0.09em;
transform: rotate(45deg);
}
You gonna love this π
Bootcamp FullStack JavaScript
It is very complete:
β React with Redux
β Node.js and TypeScript
β APIs with Express and GraphQL
β Develop React Native apps
β Docker and CI/CD with GitHub Actions
β PostgreSQL and MongoDB databases
It is from the University of Helsinki and you have it here:
β fullstackopen.com
Bootcamp FullStack JavaScript
It is very complete:
β React with Redux
β Node.js and TypeScript
β APIs with Express and GraphQL
β Develop React Native apps
β Docker and CI/CD with GitHub Actions
β PostgreSQL and MongoDB databases
It is from the University of Helsinki and you have it here:
β fullstackopen.com
Fullstackopen
Full stack open
Curso en lΓnea abierto de desarrollo web moderno basado en JavaScript por la Universidad de Helsinki y Houston Inc..
Path for Reactjs in 20 days
12 concepts of ES6 + Features JS you must know:
π Arrow Functions
π Template Literals
π Destructuring Assignment
π Default Parameters
π Spread/Rest Operators
π Let and Const
π Classes
π Modules
π Fat Arrow Functions
π Promises
π Enhanced Object Literals
π Map and Set
π Arrow Functions
π Template Literals
π Destructuring Assignment
π Default Parameters
π Spread/Rest Operators
π Let and Const
π Classes
π Modules
π Fat Arrow Functions
π Promises
π Enhanced Object Literals
π Map and Set
π1
JavaScript Developer Roadmap 2023:
Step 1: π JS Fundamentals
Step 2: π οΈ Master Functions
Step 3: π Embrace ES6+
Step 4: ποΈ DOM Manipulation
Step 5: π Async Patterns
Step 6: π¦ Module Usage
Step 7: π¨ CSS-in-JS/SASS
Step 8: π₯οΈ Learn Frameworks
Step 9: ποΈ State Management
Step 10: π Handle APIs
Step 11: π§ͺ Testing Techniques
Step 12: π οΈ Tooling Proficiency
Step 13: π CI/CD Basics
Step 14: π Secure Coding
Step 15: π± PWA Development
Step 16: π³ Docker Intro
Step 17: βοΈ Cloud Functions
Step 18: π Perf Optimization
Step 19: π’ Contribute Open Source
Step 20: πΌ Build Portfolio
π
Step 1: π JS Fundamentals
Step 2: π οΈ Master Functions
Step 3: π Embrace ES6+
Step 4: ποΈ DOM Manipulation
Step 5: π Async Patterns
Step 6: π¦ Module Usage
Step 7: π¨ CSS-in-JS/SASS
Step 8: π₯οΈ Learn Frameworks
Step 9: ποΈ State Management
Step 10: π Handle APIs
Step 11: π§ͺ Testing Techniques
Step 12: π οΈ Tooling Proficiency
Step 13: π CI/CD Basics
Step 14: π Secure Coding
Step 15: π± PWA Development
Step 16: π³ Docker Intro
Step 17: βοΈ Cloud Functions
Step 18: π Perf Optimization
Step 19: π’ Contribute Open Source
Step 20: πΌ Build Portfolio
π
Logic for CS, IIT Delhi
π Free Online Course
π» Video Lectures
β° 20 Module
πββοΈ Self paced
Teacher(s) π¨βπ« : Prof. S. Arun Kumar
π https://nptel.ac.in/courses/106102013
π Free Online Course
π» Video Lectures
β° 20 Module
πββοΈ Self paced
Teacher(s) π¨βπ« : Prof. S. Arun Kumar
π https://nptel.ac.in/courses/106102013
There are 5 layers of software:
π Hosting - where data is stored.
π¦ Database - how data is stored.
π€ Logic - how data is processed.
π API - how data is fetched.
πΌ UI - how data is presented
π Hosting - where data is stored.
π¦ Database - how data is stored.
π€ Logic - how data is processed.
π API - how data is fetched.
πΌ UI - how data is presented