Processes Database And Effective Database Management

From small companies to leading corporate houses, every organization invests a lot in database management to keep things in control. This becomes more important in the present scenario, where various important tasks are done by using the computers. Apart from serving basic purposes like streamlining the processes, database is also managed to execute future projects by taking the help of past experiences – stored in the form of data. Interestingly, it is because of efficient database management that we are living in a progressive and well controlled present world – where innumerable process database are defined to diminish any possibility of mystification and chaos. A trained and well equipped database manager keeps track of all the changes revolving in and around the data by looking for new opportunities, which can further bolster the entire process.

On a broad scale, there are only two types of database management modes. The most obvious and common among all of us is desktop database, where we all store our data on the hard-disk of our personal computer. It is limited to an individual user, but it can be further divided among two or three users. On the other hand, server database is used to manage huge piles of data. Here loads of data coming from different departments and thousands of computers is treasured on a server. This server stores all the information in the form of bytes. Leading organizations across the world depend upon such databases to store their data. So far, server database management has come forth as one of the most viable and reliable ways to treasure data.

With the help of modern database programs, server database offers multi-user applications. It does not impinge on the performance of a server by any means. Initially, server databases were used only for running a website, but now companies take the services of these servers to treasure their most important data. An extensive research should be done before finalizing any server because a lot depends upon that. It is very easier to buy the space at a server database, but at the same time, it is quite an expensive affair. Hence, it is rational to access your needs before going for a server process database.

The Process Of Database by using queries

         You learned in  A Vision for the Agile Data Method that agile methodologies such as eXtreme Programming (XP)   (Beck 2000) and DSDM (Stapleton 2003) take an iterative and incremental approach to software development.  Application developers on XP and DSDM projects typically forsake big design up front (BDUF) approaches in favor of emergent approaches where the design of a system evolves throughout the life of the project.  On an agile development project the final design often isn’t known until the application is ready to be released.  This is a very different way to work for many experienced IT professionals to work.      

         The implication is that the traditional approach of creating a (nearly) complete set of logical and physical data models up front isn’t going to work.  The main advantage of the traditional approach is that it makes the job of the process database administrator (DBA) much easier – the data schema is put into place early and that’s what people use.  However there are several disadvantages.  First, it requires the designers to get it right early, forcing you to identify most requirements even earlier in the project, and therefore forcing your project team into taking a serial approach to development.  Second, it doesn’t support change easily.  As your project progresses your project stakeholders understanding of what they need will evolve, motivating them to evolve their requirements.  The business environment will also change during your project, once again motivating your stakeholders to evolve their requirements.  In short the traditional way of working simply doesn’t work well in an agile environment.  If Agile DBAs are going to work on and support project teams that are following agile methodologies they need to find techniques that support working iteratively and incrementally.   My experience is that one critical technique is database refactoring.