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What considerations should you take into account when evaluating a data warehouse?

Contents
  1. What are the major considerations when designing a data warehouse?
  2. How do you evaluate data warehouse?
  3. What are the 4 key components of a data warehouse?
  4. What are the 3 characteristics of 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 major considerations when designing a data warehouse?

Data Warehouse Design ConsiderationsSlowly Changing Dimensions.Understanding Indexing.Indexing the Data Warehouse.Understanding Index Views.Understanding Data Compression.Data Lineage.Using Partitions.Identifying Fact / Dimension Tables.

How do you evaluate data warehouse?

‍Evaluating Cloud Data Warehouses:1Performance at Scale. ... 2Elasticity. ... 3Ease of Use. ... 4Cost Efficiency. ... 5Supports Structured and Semi-Structured Data. ... 6Concurrency. ... 7Data Granularity. ... 8Deployment Options.

What are the 4 key components of a data warehouse?

A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools. All of these components are engineered for speed so that you can get results quickly and analyze data on the fly. Diagram showing the components of a data warehouse.

What are the 3 characteristics of data warehouse?

The Key Characteristics of a Data Warehouse Large amounts of historical data are used. Queries often retrieve large amounts of data. Both planned and ad hoc queries are common.

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