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Monday, 21 February 2022

Data warehouse vs Data Mining

What is Big Data Analytics?
Basically, Big Data Analytics is largely used by companies to facilitate their growth and development. This majorly involves applying various data mining algorithms on the given set of data, which will then aid them in better decision making. There are multiple tools for processing Big Data such as Hadoop, Pig, Hive, Cassandra, Spark, Kafka, etc. depending upon the requirement of the organization.

What is Data warehouse?
A data warehouse is a technique for collecting and managing data from varied sources to provide meaningful business insights.

Data Warehouse is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing. It is a process of transforming data into information and making it available to users for analysis.


What Is Data Mining?
Data mining is looking for hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering unsuspected/ previously unknown relationships amongst the data.

It is a multi-disciplinary skill that uses machine learning, statistics, AI and database technology.

The insights extracted via Data mining can be used for marketing, fraud detection, and scientific discovery, etc.





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