The Application, Security, And Cloud Services

| Allows users to organize data in rows and columns and perform calculations and recalculate when data changes.

Tabular method- Providing a more accurate, systematic and orderly presentation of data in rows or columns

Well-organized file names and folder structures make it easier to find and keep track of data files. A system needs to be practical and used consistently. Without organization, you cannot report data effectively.

Up until this point, Third Star Financial Services has operated via a succession of mergers and acquisitions where systems were inherited but never integrated into the network. Its data management has been virtually non-existent and entirely ineffective. Evidence of this can be found in the absence of an enterprise-wide data management solution and the presence of several disparate systems operating independently with no measurable benefit to the company. Due to a lack of actionable data, management makes decisions based on instinct rather than through analysis. A direct consequence of this is a steadily declining market share and loss of high-level employees to competing companies. Fortunately, this discrepancy has been identified and Third Star executives have established the new goal of modernizing and streamlining operations. Using concepts outlined by the Data Management Association (DAMA), this proposed enterprise architecture will allow Third Star to transform their data from a liability to an asset.

Attention to detail, dealing with databases means not always getting the expected results. Some times you have to modify tables multiple times before you get the correct outputs so attention to detail is a main factor when you are dealing specially with large databases.

The advantages of interrupt driven I/O over programmed I/O is that in interrupt driven I/O the interrupt mechanisms free I/O devices quickly.

Reduce time to access the required data: DDBMS allows to store copies of a data in multiple branches.

Using the sequential I/O we can optimize the performance of our configuration. For writing the intensive fields its better to avoid either RAID 5 or RAID 6 rather than that we can use RAID 1 or 10.

Partitioning strategy: The hierarchical partitioning of data into a set of directories – The placement and replication properties of directories is

Sequential file organizations access data sequentially from the beginning [1], i.e. to reach file 27, the 26 preceding files must be accessed first. They are much slower to access compared to random access [1]. Sequential files are stored on a sequential access device [2]. The records contained in sequential files are stored in a predetermined order [2], according to the value of a search key [1], and are stored one after the other [2] as they are inserted into the file. Records can only be accessed (read from and written to) sequentially (i.e. in the same order that they were entered) [3]. Sequential files are designed for efficient processing [1]). Records stored in sequential files cannot be deleted,

DBMS can improve business efficiency by providing a highly efficient method for handling multiple types of data. For example, staff records, customer information, services rate, accounting, and inventory are all easy to manage when it uses this kind of system.

One advantage to using relational databases include ease of use due to query languages, and the ease of altering the structure due to data independence. In addition, there are no predefined set of relationships between data records in the relational

More than likely the data is spread across several physical files. However, the database sees the data as being located in a single data repository. By organizing information in a single logical repository, it allows for easy handling and querying of the data. Traditional file systems required the programmer to specify when and how the data was to be retrieved (McCaldin, 2015, p. 1).

The object oriented DBMS is superior to the relational database on some specific counts, primarily because it can satisfy the complex demands of the market today better than the any other. Secondly while the relational data base stores data as tables, the object model stores data as objects and creates associations. This can create a multiple set of attributes for each object such that the data base is more flexible to the requirements that may be housed for different sets of data having both similar and dissimilar characteristics. The paradigms then are developed for each set of common characteristics and unique characteristics of the objects which is not possible in a relational database that has a very rigid structure. (Bruegge, 2004)

Which means data is not repeated over and over again in different places. In file based systems a particular field has a file of its own. So there can be same data repeated in different files. But in DBMS data redundancy can be minimized or completely removed in some cases.