12 Questions
A data warehouse acts as a central repository for storing and analyzing information to enable organizations to make better decisions.
True
Data warehouses primarily receive data from non-relational databases as their main source.
False
A data warehouse is used for real-time data processing and analysis.
False
Data warehouses are not involved in supporting business intelligence activities.
False
The main purpose of a data warehouse is to store and interpret data to facilitate decision-making.
True
Data warehouses contain very limited historical data that is not useful for trend analysis.
False
A data warehouse provides overall processes of a business rather than topic-wise information.
False
Data in a data warehouse is stored in a consistent and universally acceptable manner in terms of naming, format, and coding.
True
Once data is entered into a data warehouse, it can be modified or erased if needed.
False
A key characteristic of a data warehouse is being time-variant.
True
Data warehouses and traditional databases are the same concept with no differences.
False
Online Transaction Processing (OLTP) systems are used for big analytical queries.
False
Study Notes
Introduction to Data Warehousing
- Data Warehousing is a core component of business intelligence that enables businesses to enhance their performance.
- It is a central repository for storing and analyzing information to make better informed decisions.
What is a Data Warehouse?
- A data warehouse serves as a central repository for storing and analyzing information to make better informed decisions.
- It receives data from a variety of sources, typically on a regular basis, including transactional systems, relational databases, and other sources.
- It is a centralized storage system that allows for the storing, analyzing, and interpreting of data in order to facilitate better decision-making.
- It is a type of data management system that facilitates and supports business intelligence (BI) activities, specifically analysis.
Key Characteristics of Data Warehouse
- Subject-Oriented: Provides topic-wise information rather than the overall processes of a business.
- Integrated: Developed by integrating data from varied sources into a consistent format.
- Non-Volatile: Data once entered into a data warehouse must remain unchanged, and all data is read-only.
- Time-Variant: The data stored in a data warehouse is documented with an element of time, either explicitly or implicitly.
Database VS. Data Warehouse
- A data warehouse and a traditional database share some similarities, but they are not the same idea.
- The main difference is that in a database, data is collected for multiple transactional purposes, whereas in a data warehouse, data is collected on an extensive scale to perform analytics.
- Databases provide real-time data, while warehouses store data to be accessed for big analytical queries.
- A data warehouse is an example of an online analytical processing (OLAP) system or an online database query answering system, whereas a database is an online transaction processing (OLTP) system.
Learn the basics of data warehousing, a core component of business intelligence used by organizations to enhance performance. Explore the concept of data warehouses as a central repository for storing and managing data.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
