Datamart
The difference between a data mart and a warehouse is their scope: A data mart only seeks to serve the needs of a portion of the company, such as the marketing finance department. A Data Warehouse seeks to serve the entire company.
| Enhance your IT skills and proficiency in Data Warehousing by taking up the Informatica Training. |
Ex: Sales, Marketing, Finance
- It is a high-performance query structure (HPQS)
- Fast retrieval of data is possible through datamart
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Course Schedule
| Name | Dates | |
|---|---|---|
| Snowflake Training | Jul 27 to Aug 11 | View Details |
| Snowflake Training | Jul 30 to Aug 14 | View Details |
| Snowflake Training | Aug 03 to Aug 18 | View Details |
| Snowflake Training | Aug 06 to Aug 21 | View Details |
Last updated: 03 Apr 2023
About Author
Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.
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- Types Of Tables In DWH: Facts And Dimensions
- What Are Differences Between OLTP And DWH?
- What is Confirmed, Shrunk Dimensions
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- OLTP VS OLAP - Difference between OLTP and OLAP