the operational database in data analytics
- 1. OPERATIONAL DATABASE PRESENTED BY: M.SARASWATHY PILLAY B.Sc(COMPUTER SCIENCE)-3rd YEAR
- 2. Operational Database: An operational database is a type of database that is designed to support the day-to-day operations of an organization. This can include storing information about customers, products, sales transactions, and other types of data that are essential to the organization’s daily operations. Operational databases are typically updated in real-time, allowing the organization to quickly access and use the most current data. This type of database is often used in applications where data needs to be accessed quickly and accurately, such as in online stores or financial systems. Operational databases are designed to be highly reliable and efficient, with a focus on supporting fast, real-time transactions and queries. They are typically updated on a regular basis and are used by multiple users and applications within the organization.
- 3. Why operational database is used? There are several reasons why organizations use operational databases, including the following: To support real-time transactions and queries: Operational databases are designed to support fast, real- time transactions and queries, which are essential for running the day-to-day operations of the organization. To store and manage transactional data: Operational databases are used to store and manage the transactional data of the organization, including customer information, sales data, inventory data, and other similar information. To ensure data integrity and reliability: Operational databases are designed to be highly reliable and efficient, with built-in mechanisms to ensure data integrity and accuracy. This ensures that the data stored in the database is always accurate and up-to-date.
- 4. To support multiple users and applications: Operational databases are typically accessed by multiple users and applications within the organization, which allows them to share data and collaborate on projects. To improve decision making: Operational databases provide organizations with real-time data and insights, which can be used to make informed business decisions and improve the overall efficiency of the organization. Operational Database Examples: This type of database typically contains current and up-to-date information that is used to support the daily operations of the organization. Examples of operational databases include customer and product databases in e-commerce websites, financial transaction databases in banks, and inventory databases in manufacturing companies. These databases are often accessed and updated in real-time by multiple users in the organization, and they are typically optimized for fast access and retrieval of data.
- 5. Advantages of Operational Database: Real-time data and insights Enhanced collaboration and coordination Increased operational efficiency Reduced data duplication and errors Disadvantages of Operational Database: High maintenance and operational costs Limited scalability Complexity and expertise required Potential security risks
- 6. Relational Database: A relational database is a type of database that stores and organizes data in the form of tables,which are made up of rows and columns. Each row represents a record, and each column represents a field in that record.The columns in the table are used to define the data types for the values stored in each field. Each identified by a primary key and related to other tables using foreign keys. Student Table Student ID Name Percentage Contact Rows Column
- 7. Relational Database Examples: For example, a database for a library might have a table for books, with columns for the title, author, and publication year of each book. Each row in the table would represent a different book, with the title, author, and publication year stored in the corresponding fields. Advantages of Relational Database: Simplicity of Model Ease of Use Accuracy Data Integrity Security
- 8. Disadvantages of Relational Database: Maintenance Problem Cost Physical Storage Lack of Scalability Complexity in Structure
- 9. THANK YOU…