Difference Between OLTP And OLAP-Operational Database(OLTP) and Online Analytical Processing(OLAP)

Difference Between OLTP And OLAP

Operational Database(OLTP)-

OLTP means that online transaction processing database, They are used for saving dynamic data in real time. It controls a fundamental task of real time database management. OLTP allow to saving and accessing data with use of query processing with use insert, update and delete queries. It is fast, integrated and effective.

In that each and every transaction about organization is stored in database for future use, but all data is not well formatted and unstructured mainly. It is traditional way of data saving. That all data not getting a good decision for future use. In 1990 the operational database concept used mostly with SQL engine and because of that big data saving and accessing time is large for query processing. Operational database are increasingly supported to distributed database architecture.

In OLTP data are saved in table format as a traditional method, and also used a query formation for data access.

Advantages of OLTP-

1.Saved day to day transaction and detailed data about organization.

2.Data are up to date.

Disadvantages of OLTP-

1.Not well formatted.

2.Not well structured.

3.Do not give a proper knowledge for future decision.

Online Analytical Processing-(OLAP)-

It is a selective method for data saving and data accessing with fast manner. The data extracted and view with different formation and different angles and different point of view to user. That is latest technology used for data saving and accessing.

OLAP used multi-dimensional analysis technology for organizational data calculating. They fallow fast accessing and sophisticated data saving and accessing from database.

It is used for as planning, budgeting, forecasting, financial reporting, knowledge discovery and data warehouse reporting.

OLAP technology are very fast access and saving technology in real world from database as quicker output. In that output give and save as chart manner and converted into multidimensional for fast accessing. The data tables from database converted and stored in OLAP in multidimensional format and After that the basic task applied on that for searching data. i.e. data mining, analytical processing, information processing(Reporting)

The main goal of OLAP is data converted and saved into multidimensional. Data mining

giving for database and save fast. A data search easily and pass to data mining tool for next processing. Accessing data from OLAP-used fallowing techniques-

1.Roll up and Roll down

2.Drill up and Drill down

3.Slice and Dice

4.Pivoting

The OLAP covers in 3 types for data saving-

1.Relational OLAP(ROLAP)

2.Multi-Dimensional OLAP(MOLAP)

3.Hybrid OLAP(HOLAP)

Advantages of OLAP-

1.fast Accessing data.

2.Data save structured format.

3.Accessing data makes easier.

Dis-Advantages of OLAP-

1.Hard to maintain.

Explanation :

OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two fundamental types of data processing systems used in organizations, each serving distinct purposes. While OLTP focuses on handling day-to-day transactional operations, OLAP is designed for complex analysis and decision-making. Both systems are essential for managing and utilizing business data effectively but differ in structure, function, and objectives.

OLTP (Online Transaction Processing):

OLTP systems are used for managing routine, real-time transactional data. They handle a large number of short, atomic operations such as inserting, updating, or deleting records in databases. Examples include banking transactions, airline reservations, and retail sales. OLTP systems emphasize data integrity, consistency, and fast response times to ensure smooth business operations. The database design is highly normalized to avoid redundancy and maintain accuracy. Performance in OLTP focuses on efficiently processing thousands of concurrent transactions with minimal delay.

OLAP (Online Analytical Processing):

OLAP systems, on the other hand, are used for data analysis, reporting, and decision support. They deal with large volumes of historical data aggregated from OLTP systems and other sources. OLAP allows users to perform complex queries and multidimensional analysis, such as sales trends by region or product performance over time. The data is usually stored in a denormalized or multidimensional format, often organized into cubes. OLAP prioritizes query performance, data summarization, and analytical flexibility over transaction speed.

Key Differences:

• Purpose: OLTP is used for daily business operations, while OLAP is used for analytical processing and decision-making.

• Data Type: OLTP handles current, real-time data; OLAP deals with historical and summarized data.

• Database Design: OLTP uses normalized schemas; OLAP uses denormalized or multidimensional schemas.

• Operations: OLTP performs simple read/write operations; OLAP performs complex queries and aggregations.

• Performance Goal: OLTP aims for transaction speed and accuracy; OLAP aims for query efficiency and analytical depth.

Read More-

1. What Is Data Warehouse
2. Applications of Data Warehouse, Types Of Data Warehouse
3. Architecture of Data Warehousing
4. Difference Between OLTP And OLAP
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