Monday, September 14, 2020

Data Warehousing and Data Mining

 



      What do you mean by Data Warehousing ?

       Data Warehousing can be called as storage house of  data  where information

       from different places are stored in a huge database and then analyzed and

      corrected if any error is found.

      It is the electronic storage of large amount of data  by the business organization

      which is queried and analyzed. It is the process of transforming raw data into

      information and making it ready to be used by users 


   Characteristics of Data Warehouse

    1. The first important point to be seen that Data warehouses data are a 

         type of data which helps the organization to take  strategic and long

         term decisions.

  2.   It helps in historical analysis of data and come to a conclusion

  3.  These data are not  updated frequently unlike operational data

 

  Applications of Data Warehouse :

    1. Basically these type of data are used to take strategic Financial Decisions

    2. They are used by organizations to understand the tastes and preferences

         of the consumer goods.

    3. Banking Organizations. 


  What do you mean by  Data Mining ?

   It is basically a process of analyzing and processing a large amount of data

   that delivers a common solution.It allows organizations to take data driven

   decisions.It discovers relationships between data.

   data mining is basically used for fraud detection in data,finding correlation between

   data, analyzing website traffic etc   .



      Features of Data Mining:

       1. It is based on operational database

      2. It is used for analyzing data .

      3. It analyze  current data

      4. Identification of errors

     5. It is carried  out  by  expert engineers

 

   Process of Data Mining: 


                  1. Understanding of Business working

                  2.  Analyze data

                  3. Segregate Data

                  4. Model the data according to segregation

                  5. Evaluate the data

                  6. Use the data in specified work

 

      Technologies used in Data Mining: 

            1. Artificial  Intelligence

            2. Machine Learning  

            3. Natural Language Processing

            4. Cloud  Computing

            5. Decision Trees  

            6. Deep Learning(Neural Networks)

 

               

 


 

 

        


     

No comments:

Post a Comment