Career-Help
Recession has unfortunately closed or reduced some industries to a mere small business. Because of the reduction of the demand, companies are forced to close down factories, offices while terminating thousands of employees along the way. This has greatly affected the current economy as more and more employees find themselves without a job and finding one is very difficult.
Everyone dreams of becoming successful in their chosen career. The college degree is regarded as a powerful ticket towards success and a very stable career. Of course, these achievements do not come without rewards. A successful career requires unrequited commitment.
Every fresh graduate wants to establish a career as soon as possible. When you start early in your career, the c h a n c e for career growth is more likely since you have the time and patience to be with the company until they recognize your talent and loyalty.
The current economic situation always places the fresh graduates in a disadvantaged position. Since the employee demand is not there, they are unable to find a good job as soon as they graduate. There are still companies hiring even during recession but the number of applicants are by the hundreds.
During recession, companies are not proactive in hiring employees, jobs are scarce and the c o m p e t i t i o n is fierce for the available jobs. Those that are fortunate enough to find a job, they will not be able to avail the expected payment since many companies today are cutting cost.
End User Data can either be data provided by a data warehouse or the data created by end users for query processing.
Dynamic Queries are queries that are executed during run-time. In general, they are constructed dynamically with the help of desktop-resident query tools.
Existing Data Quality Criteria
The most general sense, data quality is an indication of well the data is in terms of integrity and accuracy as it is stored in the data resource in order to meet the demand of business information. Other indicators of good quality data pertain to completeness, timeliness and format (though this may never apply anymore with today’s advanced data cleansing and transformation tools).
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