Oracle database3 min read

Introduction to Oracle database

Oracle database is a database solution for batch processing, data lakes, and operational reporting. It enables its customers to simplify relational database environments and reduce management workloads. But firstly, we must know what is a database. A database is a collection of related data necessary to manage an organization. Data is stored in such a way that they are independent of the program which uses the data.

Database stores all the relevant tables or simply it is a collection of tables. In relational databases, the data is organized into tables in the form of rows and columns. These tables are called ‘relations‘. A row in a table represents a relationship among a set of values and thus the table is a collection of such relationships. It is referred to as a relational database, a name derived from mathematical term relation.

Managing the database may involve the following tasks :

  • Add
    Adding new data into existing
  • Edit
    Modifying data
  • Delete
    Removing unnecessary data
  • Search
    Looking for specific data
  • Update
    Updating a record to print the data in a specified format.
  • Relation
    Making relation between data files
  • Sort
    Arranging the data into some meaningful order
  • Query
    Asking different questions on a database. Some popular database management software is dBase, Foxpro, MS Access, Ingress, Sybase, Oracle, etc.

If you want to learn more about Structured Query Language (SQL) click here.


History

Relational Database management system (RDBMS), Oracle, is the most widely used database. RDBMS Oracle was developed by Oracle Corporation which was initially called Relational Software Incorporated. It was formed in the year 1977 by Larry Ellison, Bob Minar, and Ed dates.

Example:

A Relation schema of STUDENT is given below,
STUDENT (NAME, AGE, CLASS, ADDRESS, CITY, SEX)

Oracle database example showing student table
Oracle database example

Key features of Oracle

  1. Client/Server environments.
  2. Large databases and space management
  3. Many concurrent database users.
  4. Manageable security.
  5. High availability

Advantages of RDBMS Oracle database

  1. Flexible database structure.
  2. Easy to relate data items.
  3. Improves Database Performances.
  4. Data can be shared.
  5. Reduces the cost.
  6. Controls redundancy.
  7. Easy to access the data.
  8. Data remains consistent etc.

If you want an overview of the oracle database and the benefits associated with it click here.


Client/server architecture of Oracle database

An Oracle database system can easily make use of distributed processing. The database system is divided into two components in this architecture: a front-end or client, and a back-end or server. Distributed processing minimizes the strain on a single processor by allowing multiple processors to focus on a subset of related activities, boosting the system’s overall performance and capabilities. Multiprocessing combines the use of many processors to perform a set of related tasks. Oracle makes use of the underlying operating system’s multitasking and shared-memory capabilities.

Client

The client is a database application that sends a request to the database server for an action to be executed. It asks for, processes, and displays data that is maintained by the server. Client applications can be created without regard for the data’s physical location. The application will continue to work with little or no changes if the data is relocated or dispersed to other database servers. The client workstation can be made to perform better. The client is usually run on a different machine than the database server, which is usually a personal computer. A single server can be used by multiple clients at the same time.

Server

The server runs Oracle software and performs the tasks necessary for concurrent, shared data access. In a networked system, low-cost, low-end client workstations can effectively access the server’s remote data. The SQL statements generated by client applications are received and processed by the server. The computer that runs the server can be tweaked to perform better. Shared data is saved on servers in networked environments rather than on all computers in the system. Concurrent access is now easier and more efficient to manage. As a result, it provides its client applications with the highest level of concurrency, data integrity, and performance.


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