Data Mining Vs Data Warehousing

Author Aditi

Introduction

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.

Comparison

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Frequently Asked Questions

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.
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.
What is data mining?
It is the process of extracting valuable data from extensive data and finding correlations among them.
What is a data warehouse?
It is a place where data is stored before processing and used.

Conclusion

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.