Tag Archives: problem
Techniques to Clear away Spyware That does not Want To Depart Your Computer
There are times that you get some spyware on your system that just won’t let up. It seems as if nothing that you do is actually getting it off your system making it hard to use your computer safely as you are worried about what it’s looking at on your system. There are some techniques that you can use that will help you get rid of spyware that is difficult to take off the system.
The first is that you need to use a spyware scanner that will do a system scan while the computer boots up in safe mode. In safe mode, at times the spyware can’t turn on or be activated which sometimes makes it hard to get off the system. If you can do the scan in safe mode, at times it’s easy to remove the problem.
Other times you can simply end the process that the spyware is running under in the task manager. If you end the process, you can then remove it. Sometimes spyware is designed so that it can only be removed if it’s disabled. This is one trick that lets you do that easily.
Clean your registry. Sometimes spyware will embed itself deep into your computer’s registry causing problems. If clean up the registry with a cleaner tool, it can get rid of this problem for you better.
Do a search on the internet for the specific piece of spyware that is giving you trouble. Generally there is someone in a blog or forum who has a creative step by step solution to fixing the problem.
One option is to back up all your files on your machine and consider going back to a previous save point on your machine. There is a chance that the previous restore point doesn’t have the spyware meaning you can avoid having it at all anymore by going back.
Sometimes spyware is hard to remove from your system. Learn a few strategies to removing the tough spyware that won’t go away.
File Processing Systems
Even the earliest business computer systems were used to process business records and produce information. They were generally faster and more accurate than equivalent manual systems. These systems stored groups of records in separate files, and so they were called file processing systems. Although file processing systems are a great improvement over manual systems, they do have the following limitations:
Data is separated and isolated.
Data is often duplicated.
Application programs are dependent on file formats.
It is difficult to represent complex objects using file processing systems. Data is separate and isolated. Recall that as the marketing manager you needed to relate sales data to customer data. Somehow you need to extract data from both the CUSTOMER and ORDER files and combine it into a single file for processing. To do this, computer programmers determine which parts of each of the files are needed. Then they determine how the files are related to one another, and finally they coordinate the processing of the files so the correct data is extracted. This data is then used to produce the information. Imagine the problems of extracting data from ten or fifteen files instead of just two! Data is often duplicated. In the record club example, a member’s name, address, and membership number are stored in both files. Although this duplicate data wastes a small amount of file space, that is not the most serious problem with duplicate data. The major problem concerns data integrity. A collection of data has integrity if the data is logically consistent. This means, in part, that duplicated data items agree with one another. Poor data integrity often develops in file processing systems. If a member were to change his or her name or address, then all files containing that data need to be updated. The danger lies in the risk that all files might not be updated, causing discrepancies between the files. Data integrity problems are serious. If data items differ, inconsistent results will be produced. A report from one application might disagree with a report from another application. At least one of them will be incorrect, but who can tell which one? When this occurs, the credibility of the stored data comes into question. Application programs are dependent on file formats. In file processing systems, the physical formats of files and records are entered in the application programs that process the files. In COBOL, for example, file formats are written in the DATA DIVISION. The problem with this arrangement is that changes in file formats result in program updates. For example, if the Customer record were modified to expand the ZIP Code field from five to nine digits, all programs that use the Customer record need to be modified, even if they do not use the ZIP Code field. There might be twenty programs that process the CUSTOMER file. A change like this one means that a programmer needs to identify all the affected programs, then modify and retest them. This is both time consuming and error-prone. It is also very frustrating to have to modify programs that do not even use the field whose format changed. It is difficult to represent complex objects using file processing systems. This last weakness of file processing systems may seem a bit theoretical, but it is an important shortcoming.
File Processing Systems
Even the earliest business computer systems were used to process business records and produce information. They were generally faster and more accurate than equivalent manual systems. These systems stored groups of records in separate files, and so they were called file processing systems. Although file processing systems are a great improvement over manual systems, they do have the following limitations:
Data is separated and isolated.
Data is often duplicated.
Application programs are dependent on file formats.
It is difficult to represent complex objects using file processing systems. Data is separate and isolated. Recall that as the marketing manager you needed to relate sales data to customer data. Somehow you need to extract data from both the CUSTOMER and ORDER files and combine it into a single file for processing. To do this, computer programmers determine which parts of each of the files are needed. Then they determine how the files are related to one another, and finally they coordinate the processing of the files so the correct data is extracted. This data is then used to produce the information. Imagine the problems of extracting data from ten or fifteen files instead of just two! Data is often duplicated. In the record club example, a member’s name, address, and membership number are stored in both files. Although this duplicate data wastes a small amount of file space, that is not the most serious problem with duplicate data. The major problem concerns data integrity. A collection of data has integrity if the data is logically consistent. This means, in part, that duplicated data items agree with one another. Poor data integrity often develops in file processing systems. If a member were to change his or her name or address, then all files containing that data need to be updated. The danger lies in the risk that all files might not be updated, causing discrepancies between the files. Data integrity problems are serious. If data items differ, inconsistent results will be produced. A report from one application might disagree with a report from another application. At least one of them will be incorrect, but who can tell which one? When this occurs, the credibility of the stored data comes into question. Application programs are dependent on file formats. In file processing systems, the physical formats of files and records are entered in the application programs that process the files. In COBOL, for example, file formats are written in the DATA DIVISION. The problem with this arrangement is that changes in file formats result in program updates. For example, if the Customer record were modified to expand the ZIP Code field from five to nine digits, all programs that use the Customer record need to be modified, even if they do not use the ZIP Code field. There might be twenty programs that process the CUSTOMER file. A change like this one means that a programmer needs to identify all the affected programs, then modify and retest them. This is both time consuming and error-prone. It is also very frustrating to have to modify programs that do not even use the field whose format changed. It is difficult to represent complex objects using file processing systems. This last weakness of file processing systems may seem a bit theoretical, but it is an important shortcoming.