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Last updated: May 20, 2022

Approaches For Data Storage Layer

Data Storage Layer is the layer where our Big data resides after being generated. The Data Warehouse holds the processed data. This data has been cleaned, converted, and provided with a defined format, allowing employers to utilize the data as needed by the business. Data will be stored in both Data Warehouses and Data Marts, depending on the Architecture approach. Data Marts will be covered further down the road. An Operational Data Store is also included in some. It includes the following types of Data storage:- Direct Attached Storage, Network Attached Storage. There are various devices that are used for data storage such as Flash drives Arrays, hybrid cloud storage, backup software, and appliances.
Inmon Approach In Data Warehouse Designing
This blog will discuss the Inmon Approach to Data Warehouse Designing.
Kimball Approach In Data Warehouse Designing
This blog will discuss the Kimball Approach to Data Warehouse Designing. The architecture of Kimball's approach, Properties of the Architecture, Pros, and Cons of Kimball Approach.
Inmon VS Kimball Approach in Data Warehousing
In this article, we will differentiate between Inmon and Kimball Approach in Data Warehousing.