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Deep Dive into Looker

 Looker Architecture

Looker Modeling Diagram

Looker Features:
  • Highly Scalable
  • Better Performance - as it uses Virtual Data Modelling Layer
  • Better Data Governance
  • Develop using Agile Methodology
  • Fexible
  • Self Service - Text Based YAML 
  • Zero Redundant Data Storage
  • Less Hardware procurement
  • Enterprise wide Metric Accuracy
Advantages of using Virtual Data Modelling Layer
  • Less Hardware
  • Zero Redundant Data Storage
  • High Performance Data Querying
  • Real time Analytics
  • AI and ML 
  • Flexible Data Pipelines
Looker Helps in :
  • Version Controlled ,unified analytical layer
  • Single source of truth for KPIs and Metrics
  • Content Security
  • Scalable data access to Non Tech users
  • Multi/Hybrid cloud support for data sources outside of google cloud
What Looker lack:
  • Selection of Columns and adding Join Columns to auto build queries for non technical users.
  • Need to have knowledge in  LOOKML text based creation for building dashboards
  • it Doesn't support Radio buttons and Selection on dashboard.
  • Uploading Excel files and building dashboards
What Looker Good for:
  • Simple and intuitive dashboards
  • Real time Metrics 
  • Zero Data Redundant Storage
  • UI Based - No need for installing 
  • Cache and Auto Refresh 
  • Perform Data Actions by creating pipelines
Component in Looker:
  • LookML
  • Model
  • View
  • Dashboard
  • Manifest
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