OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two distinct types of systems that serve different purposes in data management and processing. Here’s a comparison between them, especially in the context of Informatica:
6 Key Difference between OLAP and OLTP In Informatica
| OLAP (Online Analytical Processing) | OLTP (Online Transaction Processing) |
| 1. Purpose: OLAP systems are designed for analysis and querying of large volumes of data. They support complex queries and are optimized for read-heavy operations to facilitate decision-making processes. | 1. Purpose: OLTP systems are designed to manage and facilitate day-to-day transaction processing. They are optimized for handling a large number of short online transactions. |
| 2. Data Operations: Focus on read operations, complex queries, and data analysis. The primary goal is to provide insights through multi-dimensional querying and reporting. | 2. Data Operations: Focus on insert, update, and delete operations. The primary goal is to ensure data integrity and speed in transaction processing. |
| 3. Data Structure: Typically involves demoralized tables (star schema or snowflake schema) to improve query performance and simplify data retrieval. Schema design is focused on optimizing queries and reporting. | 3. Data Structure: Typically involves normalized tables to minimize redundancy and ensure data integrity. Schema design is focused on efficiency for transactional tasks. |
| 4. Performance: Optimized for complex queries that aggregate large datasets. It handles fewer, but more complex queries (e.g., generating sales reports, analyzing trends). | 4. Performance: Optimized for fast query processing and maintaining data consistency. It handles a large volume of small, fast transactions (e.g., inserting sales records). |
| 5. Examples: Data warehouses, business intelligence systems, reporting and analytics systems. | 5. Examples: Banking systems, order entry systems, retail transaction systems. |
| 6. Usage in Informatica: Informatica is commonly used to load data into OLAP systems. ETL processes transform data from various sources, including OLTP systems, and load it into a data warehouse or OLAP system for analysis and reporting. | 6. Usage in Informatica: Informatica can extract data from OLTP systems for transformation and loading into a data warehouse or other analytical systems. ETL processes often involve pulling data from OLTP databases to prepare it for analytical purposes. |
Key Differences : OLAP and OLTP
| OLAP (Online Analytical Processing) | OLTP (Online Transaction Processing) |
| 1. Purpose:- OLAP: Data analysis and reporting. | 1. Purpose:- OLTP: Transaction processing. |
| 2. Data Operations: – OLAP: Read, query, analyze. | 2. Data Operations: – OLTP: Insert, update, delete. |
| 3. Data Structure: – OLAP: De normalized tables (star/snowflake schema). | 3. Data Structure: – OLTP: Normalized tables. |
| 4. Performance: – OLAP : Optimized for query performance and data retrieval. | 4. Performance: – OLTP: Optimized for transaction speed and data integrity. |
| 5. Usage in Informatica: – OLAP: Target systems for loading and analyzing transformed data. | 5. Usage in Informatica: – OLTP: Source systems for extracting transactional data. |
| – OLAP Example: Loading the processed sales data into a data warehouse and running queries to generate monthly sales reports and trend analyses. | – OLTP Example: Extracting daily sales transactions from a retail POS system to be processed and loaded into a data warehouse. |
Also Read :
1. What is the difference between Informatica PowerCenter and Informatica Cloud?
2.What is a Synchronization task in Informatica?
3.What is a Runtime environment in Informatica?
4.What is Check In Check Out in Informatica powercenter (Versioning)
Informatica interview questions and answers | Informatica interview questions and answers