What are the layers involved in the data warehouse architecture?
What are the layers involved in the data warehouse architecture?
The three-tier architecture consists of the source layer (containing multiple source system), the reconciled layer and the data warehouse layer (containing both data warehouses and data marts). The reconciled layer sits between the source data and data warehouse.
What are the major considerations when designing a data warehouse?
Data Warehouse Design Considerations
- Slowly Changing Dimensions.
- Understanding Indexing.
- Indexing the Data Warehouse.
- Understanding Index Views.
- Understanding Data Compression.
- Data Lineage.
- Using Partitions.
- Identifying Fact / Dimension Tables.
What issues should be considered when deciding which architecture to use in developing a data warehouse?
A data warehouse needs to support scalability . The main issues pertaining to scalability are the amount of data in the warehouse, how quickly the warehouse is expected to grow, the number of concurrent users, and the complexity of user queries. A data warehouse must scale both horizontally and vertically.
How many layers does a data warehouse have?
A data warehouse can be subdivided into three conceptual layers. One for staging the data. A second one, the foundation layer, for holding data at its lowest level of granularity. And a third, the access and performance layer.
What is the 3 layer architecture of the ETL cycle?
The staging layer, the data integration layer, and the access layer are the three layers that are involved in an ETL cycle.
What are the four steps in designing a data warehouse?
Hmm…so let’s have a look.
- Step1: Dimensional Modeling. First of all I start with a process called Dimensional Modeling.
- Step 2: Star Schema Generation.
- Step 3: Data Mapping.
- Step 4: Build the Cube and Reports.
- 5 thoughts on “A Data Warehouse in 4 steps”
What considerations should you take into account when evaluating a data warehouse?
7 Factors to Consider When Selecting a Cloud Data Warehouse
- Select a Data Warehouse Platform Suitable for Your Analysis Purposes.
- Use a Cost Model to Estimate Costs Accurately.
- Simplify Application Deployment Process to Accelerate Value Realization.
- Find a Cloud-based System That Integrates Advanced Analysis Functions.
What are the architecture of a data warehouse?
The three-tier approach is the most widely used architecture for data warehouse systems. Essentially, it consists of three tiers: The bottom tier is the database of the warehouse, where the cleansed and transformed data is loaded. The middle tier is the application layer giving an abstracted view of the database.
What are the different layers in ETL?
The five layers are data source, ETL (Extract-Transform-Load), data warehouse, end user, and metadata layers.
