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Tiger Data 101

Comprehensive learning path for Tiger Data and real-time analytics

Welcome to Tiger Data 101, a comprehensive learning path covering the essential concepts and skills you need to get started with TimescaleDB and Tiger Cloud.

By completing this course, you will be able to:

  • Define TimescaleDB and identify its key architecture components (Remember/Understand)
  • Explain time-series data concepts and why TimescaleDB is optimized for this data type (Understand)
  • Describe the role of hypertables, hypercore, and Continuous Aggregates in TimescaleDB (Understand)
  • Implement the Tiger Data CLI and MCP server in your own workspace (Apply)
  • Apply TimescaleDB concepts to design solutions for time-series data storage and analysis (Apply)
  • Apply Data Lifecycle strategies to practice good data hygiene and fundamentals in your organization (Apply)


#ModuleTopicEstimated Time
1What is TimescaleDB?Introduction, architecture, key features12–15 min
2Working with Time-Series DataData modeling and characteristics8–10 min
3HypertablesPartitioning, indexing, optimization10–12 min
4HypercoreColumnar storage and compression8–10 min
5Continuous AggregatesMaterialized rollups and refresh policies10–12 min
6Putting TimescaleDB Into ActionProduction design patterns and case studies10–12 min
7TimescaleDB Core Use CasesIoT, financial, analytics, industrial, APM, infrastructure8–10 min
8ResourcesFull curated reading and reference listReference
Total course time:~60 minutes

Start with the first module or jump to a topic that interests you: