Code360 powered by Coding Ninjas X Code360 powered by Coding Ninjas X
Table of contents
Data Warehouse
Data Mining
Frequently Asked Questions
Last Updated: Mar 27, 2024

Data Mining Vs Data Warehousing

Author Aditi
0 upvote
Master Python: Predicting weather forecasts
Ashwin Goyal
Product Manager @


In this article, we will discuss the differences between data mining and data warehouse. But before knowing about the difference, we first need to understand what data mining and data warehouses are? A data warehouse is the storage of data before analysis, and data mining is extracting essential data from stored data in the warehouse. 

Data Warehouse

A data warehouse is a place where data is stored before it is processed and used. It includes a process for aggregating data from various sources into one place for easy access and efficient analysis. It is designed to provide a platform for cleaning, integrating, and consolidating the data. It contains integrated, subject-oriented, time-variant, and non-volatile data. It is a technology that aggregates data from one or more sources to be compared and analyzed.

Data Mining

Data mining is a computational process of extracting valuable data from large data sets through sorting to identify the correlations among them and visualizing data that communicates critical insights. The main aim of data mining is to extract essential data from an extensive data set and convert it into a structure that can be understood easily for further use.


Learn more about Machine Learning

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job

Frequently Asked Questions

  1. What is the main difference between data mining and data warehouse?
    Data warehousing is the process of pooling(storing) all relevant data together, while data mining is the process of extracting essential data from large data sets.
  2. Which gets updated more frequently, data mining or data warehouse?
    In data mining, data is updated in small intervals. Updates in the data warehouse are done periodically.
  3. What is data mining?
    It is the process of extracting valuable data from extensive data and finding correlations among them.
  4. What is a data warehouse?
    It is a place where data is stored before processing and used.


In this article, we have extensively discussed what data mining is and what data warehousing is, and in the end, we compared both of them to find the differences among them. 

Recommended Reading:

Difference Between Rank and Dense Rank

We hope this blog has helped you enhance your knowledge regarding data mining, data warehouse, and the comparison between them. If you would like to learn more, check out our articles on data warehouse modelingdata warehousing tools, and data mining algorithms. Do upvote our blog to help other ninjas grow. Happy Coding!

Previous article
What is Regression in Data Mining?
Next article
Applications of Data Mining
Live masterclass