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Data Warehouse primarily contains 5 Components:
1. OLTP
2. ETL
3. Staging Area
4. OLAP/ Data Warehouse
5. BI
1. OLTP: OLTP stands for online transaction processing system it stores the day to day business transactions
2. ETL: ETL stands for extraction, transformation, loading. It is the process of converting the data into information with the required transformation and validations.
3. Staging Area: Staging Area is the separate dedicated area to perform the required transformations.
- It can store the data only for the temporary period of time.
.JPG "Staging Area Transformation")
4. Data Warehouse: Data Warehouse is the process of converting the raw data into valid information with the help of ETL and thereby performing required reporting and analysis, with the help of BI.
- It is the permanent location to store the information
- It is also known as OLAP
- OLAP stands for online Analytical processing system.
- As the data warehouse is giving the required information to perform required reporting and analysis. So, it is known as OLAP.
Related Article: Snowflake vs Redshift
5. BI: BI stands for "Business Intelligence".
BI is the process of incorporating the intelligence on the information stored in the data warehouse, by performing required reporting and analysis.
Checkout Tableau Server Tutorials
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As a Senior Writer for Mindmajix, Saikumar has a great understanding of today’s data-driven environment, which includes key aspects such as Business Intelligence and data management. He manages the task of creating great content in the areas of Programming, Microsoft Power BI, Tableau, Oracle BI, Cognos, and Alteryx. Connect with him on LinkedIn and Twitter.
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