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Overview
- What is Tiger Data
- Tiger Data architecture for real-time analytics
Tiger Data Academy
- All Courses
- Tiger Data 101
  - Overview
  - What is TimescaleDB?
    The Problem and the Solution
    Core Architecture
    Features and Comparison
    Real-World Applications
  - Working with Time-Series Data
    What Makes Data "Time-Series"?
    Characteristics of Time-Series Data
    Time-Series vs. Relational Data Models
    Common Time-Series Patterns
    Choosing the Right Storage Solution
  - Hypertables
    What is a Hypertable?
    Creating Your First Hypertable
    Partitioning, Indexing & Optimization
  - Hypercore
    Row-Based vs. Columnar Storage
    Compression Methods
    Enabling Hypercore & Best Practices
  - Continuous Aggregates
    The Problem and Solution
    Refresh Policies & Hierarchies
    Knowledge Check
  - Putting TimescaleDB Into Action
    From Development to Production
    Data Lifecycle & Design for Scale
    Case Studies & Knowledge Check
  - Core Use Cases
    IoT, Financial & Analytics
    Industrial, APM & Infrastructure
    Knowledge Check
  - Resources
Tiger Cloud
Tiger CLI and MCP
Capabilities and comparison
- Understand capabilities
- Compare the features in Tiger Data products
Data model
Hypertables
Hyperfunctions
Chunks and time buckets
Hypercore
- Understand hypercore
- Compression methods
Continuous aggregates (CAGGs)
Data lifecycle
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Glossary

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Tiger Data Academy courses and learning paths

Available courses

Get started with the fundamentals of Tiger Data, Tiger Cloud, and real-time analytics

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