Contents
What are the benefits of data warehousing quizlet?
– improve end-user response time due to the reduction in the volume of data to be accessed. – provide appropriately structured data as dictated by the requirements of the end-user access tools. – simpler build compared with establishing an enterprise-wide DW (EDW).
What are the characteristics and benefits of a data warehouse?
The Key Characteristics of a Data Warehouse
- Some data is denormalized for simplification and to improve performance.
- Large amounts of historical data are used.
- Queries often retrieve large amounts of data.
- Both planned and ad hoc queries are common.
- The data load is controlled.
What is the benefit of modern data warehousing?
What are the benefits of Modern Data Warehouse? Rapid integration of data into the environment. Improved efficiency in integration reducing time, cost and efforts. Opportunity to enable innovative new data models.
Which of the following is the benefits of enterprise data warehouse?
It allows users to store as much data as needed with regards to a large variety of parameters. That data can be drawn from multiple, often-unrelated sources. Taken all together, these advantages have been known to reduce cost associated with data analytics, and to increase company ROIs.
Which of the following is considered a disadvantage of the data warehouse?
Cost/Benefit Ratio A commonly cited disadvantage of data warehousing is the cost/benefit analysis. A data warehouse is a big IT project, and like many big IT projects, it can suck a lot of IT man hours and budgetary money to generate a tool that doesn’t get used often enough to justify the implementation expense.
Which the following is an advantage of a data mart over a data warehouse?
Which of the following is an advantage of a data mart over a data warehouse? Data marts can address particular functional areas of an organization. An employee needs to provide the sales team with an analysis of the product sales in its stores.
What are the four features of data warehouse?
Below are major characteristics of data warehouse:
- Subject-oriented – A data warehouse is always a subject oriented as it delivers information about a theme instead of organization’s current operations.
- Integrated –
- Time-Variant –
- Non-Volatile –
What are the key elements of a data warehouse?
What are the 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.
How does data warehouse work for your business?
The data warehouse formula works like this: Better business intelligence helps with better decisions, and in turn better decisions create a higher return on investment across any sector of your business. Most important, these revenue gains build on themselves over time, as better decisions strengthen the business.
What are the benefits of a date warehouse?
Date warehouse is designed to support decision making rather than application oriented data. • Integrated because of the coming together of source data from different enterprise-wide applications systems. The source data is often inconsistent using, for example, different formats.
Which is a competitive advantage of data warehousing?
The competitive advantage is gained by allowing decision-makers access to data that can reveal previously unavailable, unknown, and untapped information on, for example, customers, trends, and demands.
Are there any hidden problems in data warehousing?
Some times hidden .problems associated with the source systems feeding the data warehouse may be identified after years of being undetected. For example, when entering the details of a new property, certain fields may allow nulls which may result in staff entering incomplete property data, even when available and applicable.