Knitting the Information Blanket: Database Data Warehousing

There are many instances when showing means everything. Presenting multiple data or information means opening programs or operational systems one by one. Aside from the fact that one losses concentration on a task because of the need to deal with another task; uniting the files and fitting them on a comprehensively logical idea would be in disarray. However, these problems could be answered by uniting them and presenting them as one in the most organized and logically connected manner. Another fruit of modern technology is database data warehousing, and it compiles and arranges information for fast union of diverse points to one comprehensive report making it easier to explicate and for others to understand.

How it Works

The mechanism to which database data warehousing operates is a relatively easy one. The most basic explanation is that these databases are storing data; even histories of past files that contain information. This storing mechanism goes hand-in-hand with the ‘collecting capability’ wherein the database is capable to retrieve information from any operational system. Say, records of past sales, inventory notes, feedback from an online website and many other sources to which any data could possibly come from. Most, if not all, data warehousing commonly used today are databases in form.

Modelling Data

In addition to that, most of these databases include aspects that would improve the data stored. Often times creative manufacturers are utilizing what they call Online Analytical Processing or OLAP to optimize the data that one stores. The OLAP, in the most simplistic definition, is responsible for the database to independently construct logical arrangements of the information with the user’s minimal inputs. The most evident forms of the development of data by these databases are the creation of graphs, bulleted points, and other graphic interpretations of data. The essential characteristic is not simply showing the information, rather, showcasing single data with all of the information enclosed upon an interrelationship within a general idea and in the most visually appealing way.

Issues and Concerns

Dealing with specificities of how database data warehousing works is another issue. Is the integrity of data assured once they are jumbled up in the warehouse? How about some general information, are they simply plunged into the compiled version of the data? Answering these questions would require a two-fold inquiry upon the specific tasks of every component with the warehousing process. The question of retaining the integrity of data could be answered by the fact that it is a machine driven by algorithm to provide an exact and reliable output. The output that will be given could always be checked from the original sources, the original sources would not be demented but only scraped of its main points.

On the other hand, the specifics would still be available under the general system. As a matter of fact, the detailed information for every product, for example, is also done by the database. Say, one would want to know how many profit was contributed by the sales of apples in contrast with the sales of oranges. The OLAP mechanism slices and dices this information, include them in the general and at the same time, maintain their individualities. Thus, the general presentation provided by database data warehousing is not only encompassing and easy for people to understand. Rather, it also caters to dealing with easy access to information on making out what numbers would mean and how the computation ends with this or that result concerning variables like sales and marketing points along with other factors.



One thought on “Knitting the Information Blanket: Database Data Warehousing

  1. Pingback: Soaring High With Big Data Qlikview Business and Data AnalysisB2IT

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