Oracle Employ And Manipulate Users And Roles

The company built the first commercial relational database system, and marketed the first products employing SQL (structured query language), now the industry standard (Table 1). Oracle also saw the value of low-cost, client/server systems instead of mainframes, pioneered portable software that today runs on practically all hardware in most computers. In recent years, the company has supported parallel software as the breakthrough that will drive very large database applications. Table 1 illustrates some of the major milestones for the company preceding and during the time of this case.The company 's technology innovations have helped drive the computer industry to where it is today, and has enabled computer users to be more productive and more competitive with systems that cost less but do more. Oracle radically increased it 's sales every year from 1980 to 1989 (Exhibit 1). This focus on software innovation and expansion explains why Oracle 's information management software has been such a leader guiding the world into the Information Age.Table 1. Major milestones for the Oracle Corporation preceding and during the time of this case.

Coronel, C. (2013). Database Systems: Design, Implementation, and Management, Tenth Edition. Mason, Ohio, United States: Cengage Learning.

By applying this rule, patient and employees table has to be divided into smaller tables. Patient table limits hospital to enter more than one appointment, drug allergy, symptom, prescription entries.

Since 1960 and beyond the need for an efficient data management and retrieval of data has always been an issue due to the growing need in business and academia. To resolve these issues a number of databases models have been created. Relational databases allow data storage, retrieval and manipulation using a standard Structured Query Language (SQL). Until now, relational databases were an optimal enterprise storage choice. However, with an increase in growth of stored and analyzed data, relational databases have displayed a variety of limitations. The limitations of scalability, storage and efficiency of queries due to the large volumes of data [1] [2].

b) Construct a B+-tree index of the type shown in this chapter for the Player file, assuming that now there are many more records than are shown above. The file and the index have the following characteristics:

The scale of a NUMBER column indicates the number of digits that can be displayed

Keeping up with the vastly growing technologies in the both hardware and software fields while following the current technologies and predicting how those changes will impact the organization and managing the data security and privacy.

A database consists of a file or a set of files. The information in these files may be broken down into records, each of which consists of one or more fields. Fields are the basic units of data storage, and each field typically contains information pertaining to one aspect or attribute of the entity described by the database. Using keywords and various sorting commands, users can rapidly search, rearrange, group, and select the fields in many

Data Base 2 (DB2) Warehouse is IBM’s BI software. The BI software focuses on data warehousing, consolidating data from unrelated sources and forms a “single version of the truth” (IBM.com, 2007), available to users through a variety of analyses. DB2 Warehouse is built to manage mixed workload, run queries concurrently, and also pre-aggregate related data for improved query performance. DB2 Warehouse capabilities include modeling, data mining and visualization, and embedded analytics and database management tools. DB2 has an integrated compression that has proven a savings of 45-69% disk space, and a workload control that automatically prioritizes and schedules queries. In addition to basic data warehousing and mining, IBM has prepackaged solutions for specific industries: banking, retail, insurance, healthcare, telecommunications and law enforcement. DB2 Warehouse will serve clients running Microsoft® Windows® XP or 2000, and run on servers with any of the following operating systems: IBM AIX® 5L™, Red Hat Enterprise Linux® 3 and 4, SUSE Linux Enterprise Server 9, Sun Solaris 9, Microsoft® Windows® Server 2003. It is compatible with two web browsers: Microsoft® Internet Explorer and Mozilla Firefox.

This paper will provide you with a detailed knowledge of how by choosing the correct database processing and query language you are able to mitigate the processing capacity problems that are involved with the vast growth of data recently. This will help to show that while there may be no one size fits all answer, there is a fit for the problem at hand based on the storage, processing, and query needs that are to be met.

The DBMS has a number of advantages as compared to traditional computer file processing approach. The DBA must keep in mind these benefits or capabilities during designing databases, coordinating and monitoring the DBMS.

Every company that manages database requires a database administration group to supervise and promise the proper usage and employment of the company’s data. The order of database administration is not well understood or universally practiced in a consistent and easily simulated manner. Implementing a DBA function in the organization requires effective planning.

The inverted index is a sparse matrix, since not all words are present in each document. To reduce computer storage memory requirements, it is stored differently from a two dimensional array. The index is similar to the term document matrices employed by latent semantic analysis. The inverted index can be considered a form of a hash table. In some cases the index is a form of a binary tree, which requires additional storage but may reduce the lookup time. In larger indices the

The volume and density of streaming data have also been rapidly growing. Appropriate indexing approaches are essential to handle fast incoming data and to process continuous flow of queries. A new indexed structure is proposed to reduce the space cost and speed up the retrieval from data storage. ACBSD (Adaptive Clustering Based Stream Data) is proposed to index and retrieve streaming data efficiently. ACBSD-tree is proposed which aims to address the three main challenges in data indexing (1) scalable insert, (2) fast search, and (3) scalable deletion. The tree-based indexing structure requires much less space than linear structure.

They offer a wide range of supporting services, including one of the largest educational/training businesses in the world, consulting, and full system integration, no matter how small or large the project. As a product set, Oracle can be broken down into five areas: