Saturday, February 15, 2020

Fallacious Arguments and Psychological Tactics Essay

Fallacious Arguments and Psychological Tactics - Essay Example A quote used in the article is â€Å"The UK is now ahead of many of its international rivals when it comes to cutting employment and creating jobs† (Gye, 2013). However, obviously being ahead of one’s rivals in the international scene is not necessarily just due to lowered unemployment rates. Another hyperbole is the statement â€Å"This is unlike anything seen in this country since the Second World War† (Gye, 2013). However, it is impossible that there has not been any other good thing that happened in Britain from 1945 to 2014. The author also tries to euphemize the unemployment of the youth: â€Å"Youth unemployment has risen yet again, back towards the million mark [so Britain’s response is] an industrial back-to-work program to match the crisis we face† (Gye, 2013). Therefore, it seems so convenient to think that just because there is a proposed solution, then the problem is already solved. One of the psychological tactics employed by the author is mentioning that more and more young people are actually becoming unemployed. However, aside from the fact that the author makes a headcount of around 1,000,000 for the unemployed youth, his data on the 29.73 million who have jobs include those aged 16 to 64 (Gye, 2013). Thus, it is not clear where the 1,000,000 figure is coming from, as it couldn’t be that the same youth from the age of 16 and above who are among the 29.73 million employed are the same people who are among the 1,000,000 unemployed. Thus, there is not only something missing here but something amiss. Lastly, there is the fallacy of non sequitur for it does not follow that â€Å"the UK is now ahead of many of its international rivals†¦Ã¢â‚¬  merely because the illustrations indicate that â€Å"even though wages have been rising, in recent years prices have been rising at a faster rate† (Gye, 2013). Thus, there is actually nothing good about being employed if the salary is merely good enough to make

Sunday, February 2, 2020

Using a Star Database Schema Research Paper Example | Topics and Well Written Essays - 500 words

Using a Star Database Schema - Research Paper Example se of a dimensional model is to help decision makers in making strategic decisions without the need of help and support from database experts thereby avoiding extra cost. As a result timely and quality decisions are made. Research by Karen, David and Robert (2006), indicate that denormalization is advocated for in data warehouses as it promotes efficiency of the highest order when queries are run against the warehouse (Karen, David, & Robert, 2006). The concept of dimensional model was developed to cater denormalized data. A star schema model can arguably be referred to as a constrained ERD model. It consists of central entities known as the fact tables that get business event details. Star schema derives its name from the arrangement of the fact tables and dimensional entities forming a star-like arrangement. The representation of this arrangement diagrammatically constitutes the SSD. As a result of this arrangement around a business fact, SSD model is easy to understand. Star schema data model consists of one or more fact tables referencing any given number of dimension tables. There are several benefits of using star schema. First is convenient for simple queries. The star schema simplifies business logic in the realms of reporting. It also provides high level operation performance as a result of simpler queries execution. Lastly star schemas are deployed in most of OLAP systems to make proprietary OLAP cubes efficiently. According to Fig.1, most of the columns if not all in both the dimensions and fact tables are of null value. This means that the primary key is unique and mandatory. Data in the data warehouse comes from various multiple operational databases and therefore in some instances constraints applied in transactional databases need to be loosened. For instance in the star schema diagram in Fig.1, almost all the columns are of null value due to the fact they might lack data. Relationships on the parent sides are not mandatory meaning that there