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System Design
  • System Design
  • System Design Overview
  • Basic Concepts
    • Memory Levels
    • Functional vs Non-Functional Requirements
  • Key Concepts and Definations
    • Scalability
    • Performance
    • Availability
    • Reliability
    • Consistency
    • Stateless vs Stateful Servers
    • CAP Theorem
    • Data Storage and Retrieval
    • Consistent Hashing
    • Rate Limit
    • Networking and Communication
    • Security and Privacy
  • Building Blocks
    • REST APIs
      • HTTP Request
    • Authentication and Authorisation
    • Caching
      • Caching with Redis + Python
      • LRU Caching Implementation
      • Caching: Case Study
    • Database
      • DBMS
      • SQL
      • NoSQL
      • Properties
      • Database
        • Elasticsearch
        • Neo4j
        • Redis
        • OrientDB
      • Use Cases
    • Message Queue
      • Kafka
      • Pulsar
      • Celery
      • Rabbimq
      • Redis
    • Deployment
      • Docker
        • Distroless
      • Kubernetes
      • CI - CD Pipeline
    • CDN
    • Nginx
      • Reverse Proxy
      • Load Balancer
      • Caching
    • Web Scrapper and Automation
    • Parallel Processing
    • Scheduling
      • Airflow
      • Azure Logic App
    • Networking Fundamentals
    • Cloud Services
      • AWS
        • Dynamic Website on AWS
      • Google Cloud
        • Dynamic Website on GCP
      • Azure
  • Miscellaneous
  • Git
    • Interesting Repos
      • Quantitative Finance
  • Visualization
    • Power BI
    • Kibana
    • Redash
  • rocksdb and Python
  • Python Framework
    • Python Concepts
      • miscellaneous Concepts
      • OOP
      • Built-in Class Attributes
      • Built-in Functions
      • Python Clean Code
      • Async io
      • Concurrency vs Parallelism
      • Client-Server Model
    • Flask
    • FastAPI
    • Tornado
    • Django
  • Java Script
    • Node js
    • Express js
  • Operating System
  • Big Data
    • Spark
      • Pyspark Working
    • EDW
      • EDW Concepts
    • GraphQL
    • Map Reduce
  • Search
  • UI UX
    • Figma
  • Logging in Python
  • Communication in Python
  • Hashing
  • Sample Application Structure
  • Data Transfer over Network
    • jwt Authentication
  • Rough
    • Authentication and Authorization
    • Pyspark Kubernetes Operator
    • Pulsar vs Kafka
    • Storage vs Compute Server
    • Bigdata Storage Server
    • Bigdata Storage + Compute Servers
    • Stream Data Storage
    • Columnary vs Row based
    • Big data Processing
    • Stream data Processing
    • Metadata and usage
    • Data Cataloging and Usage
    • Iceberg vs Hive
    • Page 1
  • SQL - A Complete Guide
    • SQL Queries
  • Data Engineer Interview
  • Elasticsearch
  • Lambda Architecture
  • Technology Stack
  • Machine Learning
    • Learning rate warm-up
  • System Designs
    • Thinking Mental Model
    • Design Fundamental Systems
      • Design Rate Limiter
      • Design Key-Value Store
      • Design a Web Crawler
      • Design Logging and Monitoring System
    • Design Spotify
    • Design ChatGPT
    • Design Tinder
    • Design Twitter
    • Design Hotel Booking System
    • Design Calender Management System
    • Design Reddit
    • Design Whatsapp
    • Design Youtube
    • Design Instagram
    • To Read
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  1. Visualization

Kibana

Kibana

Grafana

Go through Elasticsearch section first for Visualisation Implementation, which we are doing using Kibana, ELK stack technology

Load Data, Create Index, search in Discover, filters, time field, refresh

Visualization, Dashboard

PreviousPower BINextRedash

Last updated 3 years ago

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