Rapid Battle Cards 01–15
- Big Data vs Data Science — data/environment management challenge vs analytical/scientific practice.
- Descriptive vs Predictive — what happened/why vs what is likely.
- Predictive vs Prescriptive — estimate outcome vs recommend action to influence it.
- Volume vs Velocity — amount/scale vs speed of generation/capture/use.
- Variety vs Viscosity — different forms/structures vs difficulty using/integrating them.
- Volatility vs Veracity — change/useful life vs trustworthiness.
- ETL vs ELT — transform before load vs load first and transform/integrate later for use.
- Data lake vs Data swamp — managed flexible varied-data environment vs opaque/untrusted lake with lost context.
- Batch vs Speed — complete history vs very recent/real-time.
- Speed vs Serving — compute current view vs expose/merge consumer view.
- Supervised vs Unsupervised — labeled target vs hidden-pattern discovery without target labels.
- Unsupervised vs Reinforcement — pattern/group discovery vs goal/reward feedback learning.
- Association vs Clustering — items/events occurring together vs grouping similar cases.
- Profiling vs Prediction — understand structure/content vs estimate probable outcome.
- Data mining vs Predictive analytics — discover patterns/relationships vs estimate a specified future outcome.
Last-minute drill
For Cards 3, 5, 8, 11, 13, and 15, say one changed fact that would make the other side correct.