In Feburary 2016 26,
A computer engineer must have extensive technical skills to design and choose software components for a project. This includes understanding technical language, such as C++, Java, JavaScript, HTML, CSS, SERVLET and UML design. It also includes recognizing the major differences between operating systems like Windows, DOS, Mac and Linux. Some computer engineers also work with computer databases like MySQL, Access and Oracle.
Communication Skills
Communication and interaction is a vital part of a computer engineer's job. He must interact with managers or business owners for company projects or directly with customers, if the computer engineer is working on developing solutions for customers. The computer engineer must communicate the possibilities of the given project budget, update customers or managers on the progress of projects and be able to conduct presentations on the computer development projects.
Research and Training Skills
A computer engineer must also have extensive research and training skills, especially if placed in a managerial position. Computer sciences and possibilities in the information technology and computer industry are constantly evolving and expanding. The computer engineer must be able to research and learn new programming options and skills to provide the best possible outcome for companies or customers. The computer engineer should also be able to train coworkers or employees in these new skills and programming options.
Decision-Making and Troubleshooting Skills
Computer engineers frequently work with the design and development process of computer software on behalf of customers or within a company. The computer engineer must be able to make the best decisions for the program development project in question. This is done by combining the technical skills and knowledge with the demands and needs of the customers or company. If something does not work throughout the design and development process, the computer engineer must also be able to troubleshoot to repair the issues. This can be a clash of software programs or operation systems, for instance. These skills need to be honed for computer engineer manager positions.
In Feburary 2016 26,
Showing posts with label vital. Show all posts
Showing posts with label vital. Show all posts
Friday, 26 February 2016
Monday, 8 February 2016
Pitfalls in Relational Database DesignIn Feburary 2016 08,
In Feburary 2016 08,
Choosing names is an aspect of database design that is often neglected but can have a considerable impact on usability and future development. To avoid this, both table and column names should be chosen to be meaningful and to conform to the established conventions, ensuring that consistency is maintained throughout a system. A number of conventions can be used in relational database names, including the following two examples for a record storing a client name: 'client_name' and 'clientName.'
Lack of Documentation
Creating documentation for a relational database can be a vital step in safeguarding future development. There are different levels of documentation that can be created for databases, and some database management systems are able to generate the documentation automatically. For projects where formal documentation is not considered necessary, simply including comments within the SQL code can be helpful.
Failure to Normalize
Normalization is a technique for analyzing, and improving on, an initial database design. A variety of techniques are involved, including identifying features of a database design that may compromise data integrity, for example items of data that are stored in more than one place. Normalization identifies anomalies in a database design, and can preempt design features that will cause problems when data is queried, inserted or updated.
Lack of Testing
Failure to test a database design with a sample of real, or realistic, data can cause serious problems in a database system. Generally, relational database design is started from an abstract level, using modeling techniques to arrive at a design. The drawback to this process is that the design sometimes will not relate accurately to the actual data, which is why testing is so important.
Failure to Exploit SQL Facilities
SQL has many capabilities that can improve the usability and success of a database system. Facilities such as stored procedures and integrity checks are often not used in cases where they could greatly enhance the stability of a system. Developers often choose not to carry out these processes during the design stages of a project as they are not a necessity, but they can help to avoid problems at a later stage.
In Feburary 2016 08,
Choosing names is an aspect of database design that is often neglected but can have a considerable impact on usability and future development. To avoid this, both table and column names should be chosen to be meaningful and to conform to the established conventions, ensuring that consistency is maintained throughout a system. A number of conventions can be used in relational database names, including the following two examples for a record storing a client name: 'client_name' and 'clientName.'
Lack of Documentation
Creating documentation for a relational database can be a vital step in safeguarding future development. There are different levels of documentation that can be created for databases, and some database management systems are able to generate the documentation automatically. For projects where formal documentation is not considered necessary, simply including comments within the SQL code can be helpful.
Failure to Normalize
Normalization is a technique for analyzing, and improving on, an initial database design. A variety of techniques are involved, including identifying features of a database design that may compromise data integrity, for example items of data that are stored in more than one place. Normalization identifies anomalies in a database design, and can preempt design features that will cause problems when data is queried, inserted or updated.
Lack of Testing
Failure to test a database design with a sample of real, or realistic, data can cause serious problems in a database system. Generally, relational database design is started from an abstract level, using modeling techniques to arrive at a design. The drawback to this process is that the design sometimes will not relate accurately to the actual data, which is why testing is so important.
Failure to Exploit SQL Facilities
SQL has many capabilities that can improve the usability and success of a database system. Facilities such as stored procedures and integrity checks are often not used in cases where they could greatly enhance the stability of a system. Developers often choose not to carry out these processes during the design stages of a project as they are not a necessity, but they can help to avoid problems at a later stage.
In Feburary 2016 08,
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