Database Programming

Third generation of database design theory.

DBMS: Database Management System

RDBMS: Relational Database Management System

OODBMS: Object Oriented Database Management System

A database field name is a unique identifier for a particular piece of data within a database table. It helps to organize and distinguish different types of information stored in the database. Each field name typically corresponds to a specific attribute or characteristic of the data being stored.

1. Hardware: Physical components such as computers, servers, and networking devices.
2. Software: Programs and applications that provide functionality for users.
3. Data: Information that is stored, processed, and utilized by the system.
4. Procedures: Guidelines and instructions for users on how to interact with the system.
5. People: Individuals who manage, operate, and use the information system.

Remove all redundancy from database using Normalization to ensure almost purest form of data base is called abstraction.

literally abstraction is a process of removing unnecessary information from database.

it hide super flush information form database and gives emphasis on valuable information.

Some disadvantages of the hierarchical database model include complexity in representing certain types of relationships, limited flexibility in querying data due to its rigid structure, and potential data redundancy issues as each child can only have one parent record.

A DBMS (Database Management System) is a software that manages databases and provides functionalities to store, retrieve, and update data. An RDBMS (Relational Database Management System) is a type of DBMS that stores data in a structured way using tables with relationships between them. RDBMS enforces the relational model, which allows for data integrity through constraints and supports SQL for querying data.

Paper-based systems are simple to use, cost-effective, and do not require electricity or technology to operate. Additionally, they offer a tangible format that is easy to organize and reference.

Storing the information several time leads to waste of storage space is called data redundacy.

Data redundancy is a term used about databases and means simply that some data fields appear more than once in the database. Data redundancy is wasteful and inefficient for several reasons and database designers attempt to eliminate it as far as possible by using a technique called data normalization.

Data redundancy occurs in database systems which have a field that is repeated in two or more tables. For instance, in case when customer data is duplicated and attached with each product bought then redundancy of data is a known source of inconsistency.

Some advantages of relational database management systems (RDBMS) over traditional database management systems (DBMS) include data integrity through the use of constraints, normalization to reduce redundancy, support for ACID transactions, and standardized SQL language for data manipulation. RDBMS also offer scalability and flexibility for complex data structures and relationships.

Organizations may be distributed across a wide geographic area. It is natural for databases to be set up to reflect this. Local areas will keep local information and this allows local users to quickly access the local database. A headquarters may also wish to make global inquiries to local data at the local regions.

This allows users at one site to access data stored at other sites. Data is placed close to the users who normally access this data, it gives them local control and allows them to set up and establish local policies regarding the data use. A global administrator is responsible for the entire system and should help at a local level to develop and manage the dbms.

Data in a centralized DB is inaccessible if there is a problem with the DB. However i a distributed site the local data is only inaccessible and if replication is i force then all data may be available at another site.

Since data is kept local then local access is much quicker than access to a centralized DB.

A DDBMS is much more complex than a centralized DB. If there are conflicts in hardware and software in use then this may cause performance issues and the sited advantages may become disadvantages.

It is much more expensive to setup and maintain a DDBMS. More hardware is required the network maintenance is increased the communication costs increase and there will be additional labour costs.

It is much more difficult to maintain a secure network system across multiple locations. The network needs to be made secure and access to replicated data needs to be maintained across multiple sites.

A distributed database management system (DDBMS) manages databases that are stored on multiple computers, often in different locations. A parallel database management system (parallel DBMS) uses multiple processors to perform operations on a single database, improving performance by dividing tasks among these processors. In essence, DDBMS focuses on data distribution and replication across different sites, while parallel DBMS focuses on high-speed data processing using multiple processors.

A query is a question you ask a database in the form of a SQL statement. When software developers develop software, they typically define certain queries with the delivered software as reports, forms, or accessible via query windows. Ad hoc queries are those that are not already defined that are not needed on a regular basis, so they're not included in the typical set of reports or queries provided with the software. They're typically queries that the user can create on their own outside the scope of the delivered software.

Database Management Systems, or DBMS, are software applications specially designed to interact with the user and other applications, as well as the database itself, to analyze data. All files in a software have file name extensions to identify their file types. For memory files .mem is the file name extension.

A database is used to organize and store information in a structured manner, making it easier to retrieve and manipulate data efficiently. It helps in ensuring data consistency, reliability, and security.

Databases are used to store, organize, and retrieve data efficiently. They help in managing large amounts of information, ensuring data integrity, and providing a structured way to access and manipulate data.

• OODBMS completely negates "impedance mismatch": a problem always faced by a custom software development company in a Relational Database System. In RDBMS, there was enough wastage of time when objects had to be mapped with tables and vice versa. This is completely avoided with OODBMS.
• In OODBMS, data is described easily through class hierarchy.
• IN RDBMS, users have to face problems when identifying the records. They had to ensure that no two records had the same primary key. OODBMS completely avoids this aspect because of its unique OIDs.
• Since interaction between objects and database is done transparently, there is no need for a query language to access data from an Object Oriented Database Management System. But one can still use queries in OODBMS.
• In OODBMS, a large class can hold several medium-sized classes, which can hold even more medium-sized classes. This means that OODBMs has the ability to handle complex data compared to RDBMS.

A holding tank is a storage area in a system that temporarily holds information before it is processed or used. It can be used in web applications or software to receive and store data before further action is taken on it.

Internet databases are repositories of data that are stored and accessed through the internet. They allow users to store, manage, and retrieve structured information over the web, enabling a wide range of applications such as online shopping, social media, and cloud computing. Websites and applications can interact with internet databases to dynamically display and update information in real-time.

The term database was first coined by Edgar F. Codd in the early 1970s, a computer scientist working at IBM. He introduced the concept of a structured way to organize and store data, which laid the foundation for modern relational database management systems.

A hyperlink is a clickable text or image on a webpage that takes you to another webpage, document, or resource when clicked. It is commonly colored differently or underlined to differentiate it from regular text. Hyperlinks are essential for navigating the internet and connecting different pieces of information.

1. Partition information: detailing the size and type of each partition on the hard drive.
2. File system type: specifying the format used to organize and store data on the partitions.
3. Boot information: indicating which partition contains the boot loader and bootable operating system.

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1. Limited storage capacity: Paper-based databases have limited storage capacity compared to digital databases, making it challenging to store and retrieve large amounts of data efficiently.
2. Prone to physical damage: Paper records are more susceptible to damage from accidents, such as fire, water, or wear and tear, putting the data at risk of being lost or corrupted.