data-architecture-a

Can the purchase be made quickly? Is the process of making a purchase simple? What does the customer need in order to make the a ...

There is a relevant interesting graph that depicts something very unintuitive. The graph shows that as the volume of data increa ...

Fig. 16.1.5 Nearly every occurrence is bereft of business value. Fig. 16.1.5 shows that there is a lot of data. And only one occ ...

Fig. 16.1.6 The scale of business value across the end state architecture. In Fig. 16.1.6, it is seen that different environment ...

Data Relevancy Over Time There is yet another reason for the relationship seen in Fig. 16.1.4. That reason is that as data age, ...

When considering business value, it is worthwhile noting that there is a symbiotic relationship between tactical decisions and s ...

Chapter 17.1 Managing Text Abstract In most organizations, text forms the basis of the majority of data in the corporation. Yet, ...

a DBMS is uniformity in the units of data held in the database. Text meets none of those requirements. DBMS requirements are rig ...

Fig. 17.1.1 Fitting text into a standard data base is an awkward thing, at best. The misfit between a DBMS and text has been not ...

Fig. 17.1.2 The evolution of textual integration into data base technology. The first attempt to manage text was to create a sta ...

The next step in the solution to dealing with text that needed to go into a database was to employ the practice of “stemming.” S ...

when the text is matched against a taxonomy. Following taxonomic analysis, there came NLP—natural language processing. Natural l ...

Fig. 17.1.3 Both text and context must be taken into account. So, why is context so difficult to deal with? Consider the word “s ...

Fig. 17.1.4 shows that context exists external to the words that are being analyzed. Chapter 17.1: Managing Text ...

Fig. 17.1.4 Nearly all context exists outside the text itself. Chapter 17.1: Managing Text ...

That is why context is 90% of the work done by textual ETL in order to read and prepare text for inclusion into a database. Desp ...

The Processing Components of Textual ETL From a processing standpoint, there are two major processing sections of textual ETL. T ...

Fig. 17.1.7 Processing is a multistep activity. For example, sentiment analysis includes such activities as scope of inference a ...

Fig. 17.1.8 After the data bases are built, the data can be visualized. Visualization After secondary analysis is done, the resu ...

processing. The visualization that is done can be customized to suit the application. There are MANY ways the analyst can shape ...