Oltp and olap Process of dwh and data mart and data lifecycle

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OLTP and OLAP are two different types of databases used in data warehousing. Data warehousing involves the process of creating a data warehouse and data marts to store and analyze data throughout its lifecycle.

OLTP (Online Transaction Processing) databases are used for transactional processing, while OLAP (Online Analytical Processing) databases are used for analytical processing.
Data warehousing involves the process of extracting data from various sources, transforming it into a usable format, and loading it into a data warehouse.
Data marts are subsets of a data warehouse that are designed to serve a specific business function or department.
The data lifecycle includes the stages of data creation, storage, processing, analysis, and archiving or deletion.
Overall, the goal of data warehousing is to provide a centralized and integrated view of an organization's data to support decision-making and business intelligence.

Oltp and olap Process of dwh and data mart and data lifecycle

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