In a Object Oriented Database, information is given in the form of objects as used in programming languages. "When database capabilities are combined with object programming language capabilities, the result is an object database management system (ODBMS). An ODBMS makes database objects appear as programming language objects in one or more object programming languages." (http://en.wikipedia.org/wiki/Object_database)
"A relational database is a database that conforms to the relational model, and refers to a database's data and schema (the database's structure of how those data are arranged). Common usage of the term "Relational database management system" technically refers to the software used to create a relational database, but sometimes mistakenly refers to a relational database." (http://en.wikipedia.org/wiki/Relational_database)
diff between oops and conventional programming
a functionaly dependency is an association between two relational attribute of same relational database.one of the attribute is known as determinant and the other one is determined.for the each value of determinant there is only one value associated of determined. graphicaly it can be represented A----->B .
Non-transitive dependency occurs in a database when a relationship between three or more attributes does not imply a direct relationship between all of them. Specifically, if attribute A is dependent on attribute B, and attribute B is dependent on attribute C, it does not necessarily mean that attribute A is dependent on attribute C. This type of dependency can complicate database normalization and design, as it can lead to redundancy and anomalies in data management. Understanding non-transitive dependencies is crucial for ensuring data integrity in relational databases.
SOMR (Source-Oriented Medical Record) organizes patient information by different sources of data, such as lab results, medications, and nursing notes, making it easier to track specific disciplines. In contrast, POMR (Problem-Oriented Medical Record) structures information around the patient's problems, facilitating a comprehensive approach to diagnosis and treatment by focusing on individual issues and their management. The POMR method encourages a more holistic view of patient care, while SOMR is more fragmented and source-specific.
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A relational database management system (RDBMS) is a type of DBMS that stores data in a structured format using tables with rows and columns, and enforces relationships between data. A DBMS, on the other hand, is a broader term that encompasses various systems for managing databases, including relational, object-oriented, and NoSQL databases. In summary, an RDBMS is a specific type of DBMS that organizes data in a relational model.
Importance of relational database----------------------------------------------Relational databases can be considered as stores of information grouped together logically. Relational databases are used in all data related jobs. Especially in today's world of information, relational databases have increased importance, since they are used to store, manage, and retrieve data in a managed, organised and logical way. More information on relational databases, and their importance, can be found in detail here: http://tinyurl.com/relationaldatabase
The index between relations databases is the common thread which ties them together. So if you have a column in each database called 'idnum' and IDNUM:001 in the first database corresponds with data in IDNUM:001 in the second database, the two databases are relational and IDNUM is their index.
Relational databases provide structured data storage that allows for efficient querying using SQL, data integrity through relationships between tables, and scalability to handle large amounts of data. Flat files lack these capabilities, making relational databases a more robust and organized solution for managing data.
A Relational Database is designed and maintained following some very well defined rules of logic and algebra. It often portrays a "one to many" relationship between two sets of data, and, less often, a "one to one" and "many to many" relation can be developed. An OO database uses less rigid design parameters, and can be adjusted design-wise to fit almost any kind of data environment. In fact, I'm not absolutely sure there is such a thing as an "object oriented" database, so much as there are database objects that are created and maintained with OO programming. I know that sounds self-referenceing, but that's OO for you... A relational database uses structure to locate and display data values, rather than programming logic. With a correctly designed RDB, finding and displaying data is very simple, compared to earlier network databases. Relational databases also permit the use of JOINS to merge and match sets of data ("relations"), to glean more information from your database that would normally be available.
DEFINITIONS: Set Theory - branch of mathematics that studies sets, which are collections of objects... Relational Databases - matches data by using common characteristics found within the data set...... YOUR ANSWER: Set theory can be applied to relational databases on effectively organizing data. See more on Relations on Set Theory. Once you understand relations or relationships in mathematics, you will easily be able to organize and simplify your data into your databases.
It has the ability to set up relational databases. In very simple terms, that means different tables can be connected together through relationships. You could have a table of members of staff and a table of the names of the departments in the company they work in. Then you could make a connection between each member of staff and the details of the department they work in. Why and how you do this and its advantages can take a lot of explanation. You can do a course on relational databases, such is the amount of detail involved, so it is not simple to give a full explanation here. It would also be important to be able to demonstrate it, which cannot be done in an answer like this.
A flat file system usually stores the same type of information over and over again, whereas a relational database does not. A flat file system might store zip-codes and their explanation (location of the zip code) over and over again, each time per record. A relational database stored the explanation for any given zip-code only once, and looks that information up when it needs it. --
Keyfields crosslink related records in different tables of Relational Databases. But in other kinds of databases (e.g. navigational databases, object oriented databases, flat file databases) other different mechanisms are used or the linking of records is not supported.
A database is something that stores data. Using tools called Database Management Systems(like Oracle, Informix, Sybase, DB2), you can create, view, modify, and delete databases. Databases can be -Relational -Object Oriented -Object Relational Relational database stores data in tables(called realtions). These tables are related to each other.Just like in our family, our relations are related with each other. In Object Oriented Databases, the information is stored in the form of Objects as in Object Oriented Programming.OODBMS makes database objects appear as programming language objects in one or more porgramming languages. Object relational databases combine the features of both Object Oriented as well as Relational databases. Here you can not only store simple data like text in relational, but you can also store complex objects like images, audio and video in tables.
Theory by Bales (1950) stating that a group alternately focusses on task oriented aspects and on relational oriented aspects during a group discussion. Task oriented interventions are opposing one another, while relational oriented interventions are about reinforcing one another. It is en equilibrium model, statint that each group will strive toward an equilibrium between these two ends of the continuum.
Relational databases provide support for complex queries and relationships between data tables, which is not easily achieved when using a list data structure. Additionally, relational databases offer features like data integrity constraints (such as unique keys and foreign keys) that help ensure data consistency and accuracy. Scalability and performance can also be better managed in a relational database compared to using a list for storing data.