Intelligent System || Data Mining || Data warehouse

 Intelligent System

A system, which is based on approaches, methods or techniques of the Artificial Intelligence field to perform more accurate and effective operations for solving the related problems. 

Other criteria for intelligent systems include the capacity to learn from experience, security, connectivity, the ability to adapt according to current data and the capacity for remote monitoring and management.

An intelligent system is essentially a computer-based system that can gather, interpret, and reason about data. 

Intelligent systems also perform complex automated tasks which are not possible by traditional computing paradigm.

Data Mining 

Data mining is the process of extracting the useful information stored in the large database. The various techniques are applied to extract the data patterns.

This helps businesses be closer to their objective and make better decisions.

Data mining involves effective data collection and warehousing as well as computer processing. 

The Data Warehouse

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics.

It contain large amounts of historical data. 

Data warehouse is a store of large amount of operational data (data that depend on the everyday operation of an organization) gather from multiple sources 

Its analytical capabilities allow organizations to derive valuable business insights from their data to improve decision-making.

 Types of Data Warehouse

1) Enterprise Data warehouse 

            It contain historical data.

2) Operational Data warehouse 

            It contain current data which is in using process..

3) Data Malt:

            In this part we will divide data into separate parts.

Benefits of Data Warehouse

Subject-oriented.

             They can analyze data about a particular subject or                                     functional area (such as sales).

Integrated.     

                   Data warehouses create consistency among different data                         types from disparate sources.

Nonvolatile. 

                    Once data is in a data warehouse, it’s stable and doesn’t                         change.

Time-variant. Data warehouse analysis looks at change over time.

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