This approach brings down the costs involved, the chances of delay in product release and the gives the user an option to update their requirements in successive iterative steps (Jacobson & Rumbaugh 1999, pp. 3-13).
CHAPTER 2
Oracle and Microsoft SQL Server are among the most widely used databases with a large range of features with regards to their techniques of development and deployment. Both the Oracle 10g and SQL Server 2005 are equipped with a similar feature set with regards to how they aid in SOA (service Oriented Architecture) based application development. They vary in their simplicity of usage. SQL Server 2005 has its different features combined in the database server. Oracle has sections of its functionality distributed among its different products. The application server is not integrated with the database to the same extent as SQL Server. Most of its API's use Java-based services. Oracle does not have any of their editions offered for free as compared to SQL Server 2005 which has its Express edition available for free. Oracle Lite is the least expensive among all its editions but still not free. It does not offer any support for PL/SQL which is the main language for its database and is required to execute the procedures and triggers.
Blob (or Binary Large Object) data is a type of field which has the ability to contain a large quantity of data in each record. This can exist in either text or binary format. Using SQL Server to work on Blob data can have developers encounter with over 8k of data in one record. Many kinds of data types have been used to store blob data over the years. These have been static for a long time until the introduction of SQL Server 2005 where Microsoft came up with several new data types. In earlier versions of SQL Server, such as the 2000 and before, the only data types available were Image, Text and Ntext. The data type Text is meant to store blob data of the non-unicode type while Ntext is meant to store the Unicode type. The Image data type is used for the files in the binary format such as data in compressed form, images and general documents. These can be both in Unicode and non-unicode form. Varchar, Varbinary, NVarchar and Xml are some of the data types used for blob in SQL Server 2005. Most of these require the size of the maximum data which can be stored, to be specified. The maximum field size needs to be decided before blob data can be allocated to them. This can reach as high as 2 gigabytes for each record. This can be 2^31bytes in case the data is of binary or character type or 2^30 in case it is of Unicode type. The costs associated with the SQL Server blob storage can be lowered by using a kind of design known as tiered storage. This method allows the data which is regularly used to be saved on more expensive storage. The remaining inactive data can be saved on cheaper storage. Blob data is not used that frequently. Slower hard drives are utilized to create a Raid array. These Raid arrays developed from the cheaper hard drives are used for storing the second group of files. Considering the amount of data accumulated in the blob columns, tiered storage is the best option in terms of cost. In Tiered storage, the blob data is organized inside a file group created separately. This is done at the time of table creation with the help of the Textimage_On parameter. Each SQL Server table has its blob data stored discrete file group. If the blob data needs to be separated into more than one file, the table can be divided into 2 tables followed by assigning a file group to each.
Oracle has introduced features to support large objects as well. They help in dealing with files such as video, audio and pictures. In versions before Oracle 8, these kinds of media types were associated to Long Raw data types. However it had a several restrictions which made it easier for large object data to be stored outside the database and apply Oracle to link to those locations. Since the advent of Oracle 8, developers have had the option to choose from various new data types for large objects along with the related tools and techniques used to deal with them. Large object data types in oracle can be broadly classified into external and internal. The Binary large object or Blob, Character large object or Clob and the National character large object or Clob constitute the internal type. The...
If the sequence characteristic of the waterfall model implied a difficulty in reverting to phases that had been deemed as completed, with the UML structure, new phases can simply be added into the model and treated in connection to the phases that are actually impacted and to which these new phases relate to. One of the disadvantages of UML is that the entire modeling process is, in fact, just an
For example, a medicine related website will be different from bookstore advertisement site. Customers are also different as well as managerial staff. But it is observed that same it project manager is working on both projects simultaneously. In order to keep solve this versatility issue, an it professional will have to cover each and every knowledge in such a way that he can understand what are the requirements that user
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Similarly, the Air Force needed no only some intelligent reporting capabilities, but a way that Air Force personnel, government employees, and civilian IT contractors would work together in the evaluation of applications and reports in a more robust and real-time manner. "The intent was to provide the Keystone user community the ability to do more complex financial analysis and reporting on a "self-service" basis to reduce overall system maintenance and
Ford Motor Company Analysis Ford's History, Development and Growth As Ford Motor Company itself proudly declares, "The dream became a business." The inception of Ford is one of the critical steps in the industrialization of America and the West in general. According to Ford's public relations department, "Ford Motor Company entered the business world on June 16, 1903, when Henry Ford and 11 business associates signed the company's articles of incorporation. With
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