data-architecture-a
Chapter 1.3 The “Great Divide” Abstract Corporate data include everything found in the corporation in the way of data. The most ...
Fig. 1.3.1 The great divide. Repetitive unstructured data are data that occur very often and whose records are almost identical ...
the data are managed. This difference—the “great divide”—is shown in Fig. 1.3.2. Fig. 1.3.2 Different types of unstructured data ...
Fig. 1.3.3 Hadoop centric unstructured data. The center of the Hadoop environment naturally enough is Hadoop. Hadoop is one of t ...
Fig. 1.3.4 Hadoop. But Hadoop/big data is a raw technology. In order to be useful, Hadoop/big data requires its own unique infra ...
Fig. 1.3.5 Services needed by big data. The services that surround Hadoop/big data are familiar to anyone that has ever used a s ...
Fig. 1.3.6 An infinite amount of data. There is then an emphasis on doing the normal tasks of data management in the Hadoop envi ...
Fig. 1.3.7 Textual disambiguation centric unstructured data. Textual disambiguation is the process of taking nonrepetitive unstr ...
free from the limitations of natural language processing (NLP). In textual disambiguation, there is a multifaceted approach to t ...
Fig. 1.3.9 Some of the services needed to turn unstructured into structured data. There is a concern regarding the volume of dat ...
Fig. 1.3.11 Transforming big data. Part of the reason for the difference between repetitive unstructured data and nonrepetitive ...
of that data is fairly obvious or fairly easy to ascertain. In addition, there typically are not much contextual data to begin w ...
Chapter 1.4 Demographics of Corporate Data Abstract Corporate data include everything found in the corporation in the way of dat ...
In Fig. 1.4.1, it is seen that all data in big data are unstructured and that big data can be divided up into two major categori ...
Fig. 1.4.3 Different environments. In Fig 1.4.3, it is seen that certain industries have a lot of repetitive unstructured data. ...
Fig. 1.4.4 Some other environments. In Fig. 1.4.4, it is seen that when it comes to repetitive unstructured data, there are a lo ...
Fig. 1.4.5 Business value across the different types of data. In Fig. 1.4.5, it is seen that there really are three classes of b ...
Much of structured data are available for online processing. And all elements of data in the structured environment are able to ...
created. And suppose you are looking for phone calls relating to terrorism. Out of the millions and millions of phone calls made ...
Fig. 1.4.9 Business relevancy. Fig. 1.4.9 shows that the vast majority of the business relevancy of big data lies in the realm o ...
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