Data warehousing vs Data Mining

Difference between Data Warehousing and Data Mining: Data warehousing and data mining are types of data analyzing and storing techniques. The data mining process relies on the data warehousing process. The major difference between data warehousing and data mining is that data warehousing is a technique to compile information inside the data warehouse and data mining is used for the extraction of the data.

Difference Between Data Warehousing and Data Mining
Data Warehousing	Data Mining
Data warehousing is using a database system for the analysis of data.	It is a process performed to predict or analyze unknown patterns.
It is used to centralize data.	Comparing large amounts of data.
Preferred always before data mining.	Preferred by business analysts.
Used to keep the system updated.	Used to detect errors.
It is used to improve the integrity of the business.	Keeps track of volatile factors such as buying habits of customers, sales records, etc.
Highly accurate.	Not always 100% correct.
Data is periodically updated.	Data is regularly updated.

FAQs on Data Warehousing vs Data Mining

1. What is the major Difference between Data Warehousing and Data Mining?

The major difference between data warehousing and data mining is that the data warehouse is used for collecting and comparing the data whereas data mining is a process used to predict the nature of the data.

2. What is Data Warehousing?

Data Warehousing is a process of creating data warehouse for the comparison and analysis of the data. It is used to maintain the consistency of the data. The features of a data warehouse are Time-Variant, Subject Oriented, Integrated, and Non-volatile.

3. What is Data Mining?

Data mining process is used to analyses and extract data for information. It is used for fraud detection, future behavior of data, growth prediction and lot more. It is used in artificial intelligence as well.

4. What is the difference between data warehousing and data mining based on the accuracy level?

As per the accuracy level, the difference between data warehousing and data mining is that data warehousing is highly accurate whereas data mining is not always correct. There can be seen a few incorrect prediction on the data mining predictions.

5. What is the relationship between data warehousing and data mining?

The relationship between data mining and data housing is that data warehousing is required for data mining. Data mining cannot be done if data warehousing is not done.