data-architecture-a
years. That data will not be in the online application database. Instead, you need to look for specific data over time. The plac ...
Fig. 2.1.6 Data in the data lake. Copyright Bill Inmon, 2018. Metadata in the End State Architecture It is not obvious when look ...
Fig. 2.1.7 The metadata infrastructure. Copyright Bill Inmon, 2018. Networked Metadata Another feature of the metadata infrastru ...
metadata collection to the next. Fig. 2.1.8 shows the ability to network the metadata across the architecture. Chapter 2.1: The ...
Fig. 2.1.8 Networked metadata. Copyright Bill Inmon, 2018. An Evolutionary Experience Another typical question that arises with ...
Fig. 2.1.9 The evolving architecture. The Data Lake Architecture The architecture component surrounding the data lake deserves a ...
Fig. 2.1.10 The data lake infrastructure. Copyright Bill Inmon, 2018. Chapter 2.1: The End-State Architecture—The “World Map” ...
Chapter 3.1 Transformations in the End-State Architecture Abstract One of the essences of the end-state architecture is that tra ...
Fig. 3.1.1 The proliferation of data. When you look at the simple example shown in Fig. 3.1.1, it is hard to argue that there is ...
redundancy is not nearly as simple and straightforward as it at first seems. Consider the transformation shown in Fig. 3.1.2. Fi ...
either male or female. It just so happens that in the application state, the data for Mary Smith just happen to be female. So no ...
Fig. 3.1.3 Once transformed, data can be used collectively. In order to do customized analysis, it is necessary to use data coll ...
One of the most obvious transformations is that of the reading of raw text and the conversion of the raw text into a standard da ...
Another common form of transformation is that of converting data from application data into corporate data. Fig. 3.1.5 shows thi ...
In Fig. 3.1.5, application data are seen in its raw state. Data are unintegrated. In one record, male is designated as 1, and fe ...
Fig. 3.1.6 A data mart transformation. In this transformation, raw, detailed data are read. The data are then summarized and put ...
establishing and measuring key performance indicators—KPIs. Typically, KPIs are calculated on a periodic basis—monthly, weekly, ...
Fig. 3.1.7 A transformation from actively used storage to inactively used storage. Transforming Data Generated Automatically Ano ...
Fig. 3.1.8 Data generated automatically. In Fig. 3.1.8, data are generated quickly and in great volumes. Several things happen t ...
Fig. 3.1.9 shows the refinement of bulk data. Fig. 3.1.9 The refinement of bulk data. Transformation and Redundancy There are th ...
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