- sophistication: in simple terms, this refers to the complexity of SQL statements needed for the analysis, e.g. complex joins, multiple sorts etc.
- volume: this refers to data volume involved in the analysis.
- latency: here, he means the combination of time to load and transform data (ideally: 0) + query processing time (ideally: sub-second).
- costs: actually, it's meant to be the costs for hard- and software but I'd add that those costs are a symptom of hard- and/or software architecture complexity.
Tuesday, June 14, 2011
CAP Equivalent for Analytics?
Incidently, I've bumped into Camuel Gilyadov's blog titled CAP Equivalent for Analytics. In analogy to the CAP theorem, he argues, there is a similar trade-off between the following four dimensions in an analytic processing environment, i.e. not all four of them together can be achieved; at least one of them needs to be compromised:
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