Database in Distributive Environment
Database is a diverse collection of information which manages data and allows fast storage and retrieval of that data. Each application requires database to hold the data specific to the application, which is accessed by the users. However, each application according to its requirement needs different type of database. Researchers classify the databases according to the user specific functionalities, parameters as well as application.
There have been several discussions and researches on the joins, which is a key performance indicator of any database. Some researchers outweighed the centralized database over distributed database, based on the analysis of joins performed in above mentioned two databases. For example, Sharma and Singh (2012) conclude that in centralized database data is placed at central location while in distributed database, data is distributed among several locations to increase access transparency. They found that data is placed over a central location to avoid any redundancy in the database. In contrast, Carbunar and Sion (2012) explain that sensitive data in parallel distributed system are placed by a client on a database server situated at service provider. On the basis of joins performed the authors found that the server should not be able to evaluate inter-column join predicates on initially stored data.
In addition, since the join performance determines the speed of databases, some authors found that cloud database is better than parallel database. Cheng, Yu and Yu (2011) show that the HPSJ algorithm processes an R-join between two base relations, it first gets all centers that have a nonempty x-labeled F sub cluster and a nonempty y-labeled T sub cluster, using the table and maintains them. The authors describe that two step R-join algorithm is used to process temporal relation that contains R-join attributes. On the other hand, Carbunar and Sion (2012) explain that join algorithms returns all matching tuple which makes parallel database faster. Different authors see the parameters according to the use in specific application.
According to researchers another category is load balancing. For example Lubbe, Reuter and Mitschang (2012) proposed an algorithm for load balancing of partitioned data. This aims at balancing the amount of data and focus on reducing data skew between partitions. They also showed that if current load rises above some certain threshold in a particular node then it will check the load in the neighboring node and if the load in that node is below the threshold then the load will be shared amongst them.
The next project deliverable is a robust, modernized database and data warehouse design. The company collects large amounts of website data and uses this data to analyze it for the company’s customers. This document will provide an overview of the new data warehouse along with the type of database design that has been selected for the data warehouse. Included in the appendix of this document is a graphical depiction of the logical design of the
These are covered briefly in appendices in the text. The relational model was first proposed by E.F. Codd in 1970 and the first such systems were developed in 1970s. The relational model is now the dominant model for commercial data processing applications. The relational model can be used in both conceptual and logical database design. The basic structure in the model is a table .Tables consists of rows and columns. Relationships in the relational model are represented implicitly through common attributes between different relations.
As defined by Kroenke Database is an integrated, self-describing collection of related data. Data is stored in a uniform way, typically all in one place- for example, a single physical computer. A database maintains a description of the data it contains and the data has some relationship to other data in the databa...
This paper was written to show the similarities and differences in five different databases. It compared Access, MySQL, SQL Server, DB2, and Oracle in six different areas. It found many similarities in functionality, but large diversity in pricing.
For this coursework two kinds of data models can be used. The object oriented data model, Object Oriented Database Management System(OODBMS), or the relational data model, Relational Database Management System(RDBMS). The differences between these two models and the data model to be used are described in this chapter.
For storing the data in organized manner we use the traditional relational databases and in these databases the information is stored in the form tables. NoSQL is an abbreviation or a short form for ‘Not only SQL’. Carlo Strozzi in 1998 for the first time used this name to refer their open source relational database, which didn’t exposed its SQL interface. As this was different from the relational databases so on later stage he suggested to name it NoRel (No Relational) instead of NoSQL (Not only SQL). As the name indicates, in NoSQL we use additional methods to store data. NoSQL as compared to the traditional relational databases use different data structures like Key-value, document-oriented, Column oriented or graph oriented. In comparison to traditional databases these data structures offer faster operations in NoSQL. The use of NoSQL is dependent on what problem we aim to solve with it.
Almost all commercial database systems available today are designed to provide a high level of performance to its users. Nonetheless, Database Performance Tuning for large volumes of data is an arduous task. Even minor changes can bring about a substantial impact (positive or negative) on the performance of the system (KOCH, 2014).
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
A database is a collection of data which is organized and easy for users to find data. Database can record massive amount of data, it can be use for business and organization’s purpose. Every organization should have database security to secure the information of the organization.
Oracle's relational databases represent a new and exciting database technology and philosophy on campus. As the Oracle development projects continue to impact on University applications, more and more users will realize the power and capabilities of relational database technology.
Satzinger, Jackson & Burd (2010, pp. 488) further states that DBMS “provide designers, programmers and end users with sophisticated capabilities to store, retrieve and manage data”. Sharing and managing the vast amount of data needed by a modern organisation simply would not be possible without a database management system.
Commercial databases are growing at unprecedented rates. A recent META Group survey of data warehouse projects found that 19% of respondents are beyond the 50 gigabyte level, while 59% expect to be there by second quarter of 1996.1 In some industries, such as retail, these numbers can be much larger. The accompanying need for improved computational engines can now be met in a cost-effective manner with parallel multiprocessor computer technology.
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
Database management system (DBMS) is a collection of interrelated data and a set of programs to access the data. The collection of data, usually referred to as a database, contains the information related to the Company, the company's system at workplace, detailed information as an example employee personal information stored in the data. The goal of a database management system is to provide a way how to store and retrieve data information more efficiently. For examples, of the data, consider the name, telephone number and address are known, the recorded data is indexed address book, can be stored on a floppy disk, using a personal computer and software such as dBase IV or V, Microsoft Access or Excel
The Database Management System (DBMS) is software that enables the users to define, create, maintain and control the access to the database. It is a software that interact with the user’s applications programs and it database. Meanwhile, information retrieval system is a system that involved the activity that the systems obtain the information. The obtaining information action need the information from it resources.