EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials Database Management Tutorial Operational Database
Secondary Sidebar
Database Management Tutorial
  • DataBase Management
    • Text Data Mining
    • Roles of Database Management System in Industry
    • SQL Server Database Management Tools
    • Databricks CLI
    • Database administrator skills
    • Database Management Systems Advantages
    • Database Testing Interview Questions
    • Netezza Database
    • Data Administrator
    • Database Administrator
    • Data manipulation
    • Database Management Software
    • DataStage
    • Types of Database Models
    • Types of Database
    • Hierarchical Database Model
    • Relational Database
    • Relational Database Advantages
    • Operational Database
    • What is RDBMS?
    • Data Masking Tools
    • Database Security
    • Data Replication
    • Bitmap Indexing
    • Second Normal Form
    • Third Normal Form
    • Fourth Normal Form
    • Data Definition Language
    • Data Manipulation Language
    • Data Control Language
    • Transaction Control Language
    • Dataset Normalization
    • jdbc connection
    • Conceptual Data Model
    • Entity-Relationship Model
    • Relational Database Model
    • Sequential File Organization
    • Teradata Create Table
    • Teradata Database
    • Centralized Database
    • Data Storage in Database
    • Thomas write Rule
    • DBA Interview Questions
    • What is JDBC?
    • jdbc hive
    • Apriori Algorithm
    • JDBC Architecture
    • JDBC Interview Questions
    • Datastage Interview Questions
    • Wildcard Characters
    • Distributed Database System
    • Multidimensional Database
  • TSQL Basic
    • TSQL
    • What is T-SQL
    • T-SQL Commands
    • T-SQL String Functions
    • TSQL Interview Questions

Operational Database

By Priya PedamkarPriya Pedamkar

operational database

Introduction to Operational Database

An Operational Database or OLTP (On-Line Transaction Processing) is a database management system where data is stored and processed in real-time. They also provide a real-time analytics opportunity which is highly sought after and can manage both SQL and NoSQL based database. They are also increasing their support for Distributed databases so as to improve on scalability, availability, fault tolerance. Some examples of Operational Databases are Microsoft SQL Server, AWS Dynamo, Apache Cassandra, MongoDB, etc.

Need for Operational Database

Imagine a Global Shoe selling business who operates out of India. From the warehouse data where all the details of inventory like raw materials, WIP Goods, finished products is maintained, this helps the Purchase team situated in some other corner of the world to know what to order next and in what quantities. From the company’s Financial Data, Production and Manufacturing data, Sales Marketing data, CRM and SCM data, etc. Everything is handled by the company’s Operational Database management system. This helps them in analyzing data and information in real time and provides advanced complex analytical tools.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Therefore, an operational DBMS has become extremely important for the following reasons,

  • Analytical Abilities: It can provide the real-time analytical ability to help in any decision-making process. It can incorporate various applications to enhance the analytical abilities as per user needs without changing the state of the database.
  • Internet of Things: It helps in harnessing the true potential of IoT through real-time monitoring, reviewing and providing apt solutions by itself.
  • Fault Tolerant: By inculcating with Distributed databases, it can create a fault resistant system where if one of the components goes offline or is malfunctioning, it won’t affect the entire system.
  • Scalability: Modern operational database systems are ever ready to scale on request and with the added advantage of high concurrency and low latency. Businesses can adopt the “Use as you grow “principle.
  • Big Data: Operational Database with distributed systems and NoSQL based system can harness the true potential with big data using technologies like Hadoop along with operational DBMS like Cassandra or MongoDB

Functions of an Operational Database

Functions of an operational database are given:

1. Indexing and Cataloguing

The main function of a Database system is Indexing which refers to efficiently store data that can be retrieved when requested with ease. It is divided into Primary, Secondary and clustered Indexes. Cataloguing refers to assigning key attributes to a file and can be then used to recall effectively like a book or a journal.

2. Replication

Put simply, it refers to making a copy of file or data as a whole at multiple locations so as to ease the retrieval and storage process. This is particularly important in distributed systems where the same data when stored at multiple locations can be accessed more easily and with added consistency.

3. File Storage, Structure

File storage is another important function of the operational DMS where since its use cases are complex so does the system of storing the files. The system needs to be robust enough to sort and store files at relevant locations. The file organization system can organize files in Heap, Sequential, Hash, Clustered file organization system.

4. Query Processing

Operational database systems get the analytical ability due to its superior query processing system. It refers to the entire process from translating a query put forward to the database system by users into simple low-level instruction to its optimization and analyzing and evaluating the query. After the process, the system would extract relevant data from the database and present it to the user. This process happens in a fraction of a second.

5. Transactions Support

A transaction system can be considered the logical unit of the operational database system. For it working consistently in a steady-state, in a concurrent state and having recovery services is of paramount importance. Transaction support deal with this along with making the system ACID-compliant which means Atomicity which distinguishes a transaction from others, Consistency which ensures that the transaction changes database during the process doesn’t make it inconsistent, Isolation which refers to keeping the transactions independent in a concurrent state and Finally Durability ensuring the transaction are permanently stored in the dataset along with the end result of processing.

Advantages

Following are the advantages given below:

  • Operational Databases systems are greatly versatile and accommodate distributed systems like NoSQL, SQL, New SQL Databases.
  • These systems are highly available, fault-tolerant and highly scalable as discussed.
  • They are highly secured as they offer built-in support for encryption, auditing, and protection from cyber
  • They are extremely flexible and can work with multiple applications without losing the state of the database. Therefore, people at different locations or a department can incorporate application and services as per their needs without worrying about the state of the database.
  • Such systems are often more economical as systems in an operational database are usually based on distributed networks and systems thereby reducing costs drastically and ensuring consistency.

Disadvantages

Following are the disadvantages given below:

  • They usually have a learning curve where personnel are required to give relevant training to manage such databases and that increases the overheads expenses
  • Even the installation process of such an operational database system requires time and effort where they need to be set up in an optimal way of meeting business goals and extracting most benefit from the system.
  • Security could also be an issue where since the data is stored in a remote location having overall control could be difficult and we have seen recent examples of customer data being hacked from some of the most prominent tech companies.

Conclusion

As discussed, in spite of some disadvantages there is no denying that an operational database is the most effective and efficient way of managing all data in an organization. Most Fortune 500 companies use applications that use this method of database management.

Therefore, it is important for anyone to understand operational databases and its architecture who wants to make a career in Data Science and Big Data along with working knowledge of other technologies like Hadoop, Cassandra, and MongoDB.

Recommended Articles

This is a guide to an Operational Database. Here we discuss the Introduction, need, functions of an operational database along with advantages and disadvantages. You may also look at the following articles to learn more –

  1. Data Lake vs Data Warehouse | Key Differences
  2. Data Warehouse Testing
  3. Types of Test Case
  4. Test data generation tool
Popular Course in this category
Data Visualization Training (15 Courses, 5+ Projects)
  15 Online Courses |  5 Hands-on Projects |  105+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

SQL Training Program (10 Courses, 8+ Projects)4.9
PL SQL Training (4 Courses, 2+ Projects)4.8
Oracle Training (17 Courses, 8+ Projects)4.7
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more