What are the different types of data warehousing concepts introduced in IT sector and explain its types?
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In the IT sector, different types of data warehousing concepts include:
1. Enterprise Data Warehouse (EDW): Centralizes data from various sources across an organization for comprehensive analysis and reporting.
2. Operational Data Store (ODS): Stores real-time operational data before it’s transferred to the data warehouse for long-term storage and analysis.
3. Data Mart: Subset of a data warehouse that focuses on specific business lines, departments, or functions, providing quicker access to relevant data.
4. Online Analytical Processing (OLAP): Enables complex analysis of data stored in a data warehouse, supporting multidimensional queries for decision-making.
5. Big Data Warehouse: Incorporates big data technologies to store and analyze massive volumes of structured and unstructured data.
Each type serves different needs regarding data storage, accessibility, and analytical capabilities, catering to diverse requirements within organizations for strategic decision-making and business intelligence.