Page 316 - Data Architecture

Chapter 8.2: Big Data/Existing System Interface
Fig. 8.2.1 shows the overall system flow between big data and the existing system
environment.

Each of the interfaces will be discussed in detail.

Raw big data is divided into two distinct sections (see the “great divide”). There is
repetitive raw big data and nonrepetitive raw big data. Repetitive raw big data is handled
entirely differently than nonrepetitive raw big data.

The Repetitive Raw Big Data/Existing Systems Interface

The interface from repetitive raw big data to existing system environment in some ways is
the simplest interface. In many ways, this interface is like a distillation process. The mass
of data found in raw repetitive big data is winnowed down—distilled—into the few
records that are of interest.

The repetitive raw big data is processed by parsing each record. And when the records
that are of interest are located, the records of interest are then edited and passed to the
existing system environment. In such a fashion, the data that are of interest are distilled
from the mass of records found in the raw repetitive big data environment. One

assumption made by this interface is that the vast majority of records found in the
repetitive component of raw big data will not be passed to the existing system
environment. The assumption is that only a few records of interest are to be found.

In order to explain this assumption, consider a few cases.

Manufacturing—a manufacturer makes a product. The quality of the product is quite
high. On the average, only one out of 10,000 products is defective. However, the
defective products are still a bother. All the product manufacturing information is stored
in big data. But only the information about the defective products is brought to the
existing systems environment for further analysis. In this case, based on a percentage
basis, very little data are brought to the existing system environment.

Telephone calls (call record details)—on a daily basis, millions of telephone calls are
made. But of those millions of telephone calls, only a handful—maybe three or four—are
of interest. Only the phone calls that are of interest are brought from the big data
environment to the existing system environment

Log tape analysis—a log tape of transactions is created. In a day, tens of thousands of log
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