Looker Architecture

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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