K5CS11 Big Data, distributed processing and graphs personal learning checklist
AQA A-level Computer Science (VB.NET) · Papers 2
Name ____________________ Class __________ Date __________
Tick one box per statement. Red: need help. Amber: partly confident. Green: can do independently.
| I can | Red | Amber | Green |
|---|---|---|---|
| Volume, velocity, variety and useful information | |||
| Diagnose the actual Big Data demands of a defined task | |||
| Evaluate extraction quality and claims from heterogeneous sources | |||
| Distributed work, aggregation and reliability | |||
| Partition an appropriate computation and trace mapped counts | |||
| Choose mathematically valid partial summaries | |||
| Plan retries and resilience without duplicate external effects | |||
| Functional features and distributed correctness | |||
| Explain how functional features support local and distributed reasoning | |||
| Fact-based information and graph structure | |||
| Construct a graph model from individual assertions | |||
| Trace graph queries while qualifying evidence and privacy | |||
Next revision priority: __________________________________________________