data-architecture-a
indicates that in the data warehouse, you look at your historical activity that has been passed through your bank account. Locat ...
Chapter 9.1 Repetitive Analytics: Some Basics Abstract There are many facets to the analysis of repetitive data. One type of dat ...
on the analysis on an ongoing basis is actually very common. An example of such a continuous feedback loop might be a bank's dec ...
Looking for Patterns However, the analytic study is done; the study typically looks for patterns. Stated differently, the organi ...
Usually, the analysis centers around questions of what else has occurred when the variable has exceeded the threshold value. Onc ...
In reality, there is no real correlation between the winner of the Super Bowl and the performance of the stock market. Winning a ...
Fig. 9.1.5 shows a classical SDLC development effort. Fig. 9.1.5 Classical systems development. In classical SDLC processing, th ...
requirements. Then, after you have results, you sit back and rethink your requirements after you have had time to reflect on the ...
Fig. 9.1.6 The iterative approach. One of the characteristics of the heuristic process is that at the beginning, it is impossibl ...
Fig. 9.1.7 Freezing data to ensure consistent results. The Sandbox Heuristic processing is often done in what is called the “san ...
processing in the standard environment is because of resource limitations. In the standard corporate operating environment, ther ...
In the case of people, the normal profile may contain such things as gender, age, education, location, number of children, and m ...
When doing analytic processing against the repetitive big data environment, the types of processing can be classified in one of ...
Fig. 9.1.10 Distillation and filtering. Subsetting Data One of the results of filtering is the creation of subsets of data. As r ...
processing, the “turnaround time” to do an analysis can be very important. Sampling is especially important when doing heuristic ...
Bias of the Sample One issue that arises with sampling is the bias of the sample. When data are selected for inclusion in the sa ...
Fig. 9.1.12 The differences between results obtained from a sample data base and a fully populated data base. Filtering Data The ...
date of manufacture. Or if the filtered data were from real estate, there may be property address that is an attribute that is i ...
the process to create the subset so that it will be useful to future analytic processing. Fig. 9.1.15 shows that subsets of data ...
parsing process (as does all unstructured data). But because the data are structurally repetitive, once the analyst has parsed t ...
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