Big Data Hadoop & Spark

Why is Oracle Such a Popular Relational Database?

Everyone in the IT sector is familiar with Oracle. It is one of the leading IT company and most of us would have dreamt of getting a job in this company. But what makes it so popular? The answer is its Relational Database System.
In this blog, we will discuss the features and areas of application development for Oracle Relational Database.
In Oracle Bigdata base, a collection of data is treated as one.The purpose of a database is to store and retrieve organized information. In general, an Oracle server manages a huge amount of data in a multiuser environment so that many users can concurrently access the same data and all this is delivered with high performance. Prevention of unauthorized access and efficient solutions for failure recovery is also provided by Oracle server.
The most flexible and cost effective way to manage information and applications is offered by Oracle Database and is the first database designed for enterprise grid computing. Enterprise grid computing enables creation of  large pool of industry standard, modular storage and servers.
This architecture enables every new system to be quickly provisioned from the collection or pool of components. Peak workloads are not required, since capacity can easily be added or reallocated from the resource pool as required.
The database has logical and physical structures. Because the physical and logical structures are separate, the physical storage of data can be managed without affecting the access to logical storage structures.

Oracle Database Features

Following are the features of Oracle Database:

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  • Scalability and Performance
  • Manageability
  • Database Backup and Recovery
  • High Availability
  • Business Intelligence
  • Content Management
  • Security
  • Data Integrity and Triggers
  • Information Integration

Oracle Database Application Development

Oracle Database is a simple, widely understood, unified data model. It is used as a standalone in many applications, but it is also invoked directly from Java (JDBC), Oracle Call Interface (OCI), Oracle C++ Call Interface (OCCI), or XSU (XML SQL Utility). Stored packages, procedures, and triggers can all be written in PL/SQL or in Java.
SQL and PL/SQL are the core of Oracle’s application development stack. Most enterprises run SQL in back-ends and Web applications accessing databases do so by utilizing SQL (wrappered by Java classes as JDBC). Enterprise Application Integration applications generate XML from SQL queries, and content repositories are built on top of SQL tables.
Oracle server covers the following:

  • Oracle SQL
  • PL/SQL
  • Application Programming Languages (APIs)
  • Transactions
  • Datatypes
  • Globalization

Shown below is the architectural diagram for DBMS for your reference.
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prateek

An alumnus of the NIE-Institute Of Technology, Mysore, Prateek is an ardent Data Science enthusiast. He has been working at Acadgild as a Data Engineer for the past 3 years. He is a Subject-matter expert in the field of Big Data, Hadoop ecosystem, and Spark.

One Comment

  1. HEllo Pratek
    I am Big Data hadoop course student ,
    As a part of sqoop i want to use Oracle instead of usual MySql for My training .
    Can you please share the steps of installing Oracle 11g on CentOS ( OS used for hadoop VM of acadgild)
    thanks of your kind help

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