Integrated is one of the characteristics of the Data Warehouse. Characteristics of Integrated emerging as another form of characteristic Subject Oriented. Integrated into the Data Warehouse which means that the Data Warehouse is built from the process of integration of various data sources in the form of a database and the database from different software into a unified whole. For example, data sources are diverse in the form of databases, Relation databases, flat files, and files that come from a number of different software and have a different format, which is then integrated into a single unity of the same data.
In integrating data from a variety of different data sources into primary challenges in the Data Warehouse. How to make the process of Coding and Encoding into one piece. With the process of Coding and Encoding that is homogeneous, then the expected data in the Data Warehouse can be read well and used properly. Of course, in this case, required the existence of a consistent data format, so there is no conflict naming data in data entry, field, and table. It also expected not to occur consistently against the lack of units that exist within the data from different data sources, in general terms, the characteristics of the Integrated data analysis process makes use of Data Warehouse a better and effective.
In this case study, for example, the subject i.e. students. That is where the database will be integrated into the Data Warehouse. There are three information systems related to the subject of the students.
1. Academic information system that takes variable data the number of stem students, Students, students ' Value Name.
2. Payment Information System that takes the variable Payment data, School Year of payment.
3. Graduation information systems that take variable data ranked students who graduate.
In integrating data from a variety of different data sources into primary challenges in the Data Warehouse. How to make the process of Coding and Encoding into one piece. With the process of Coding and Encoding that is homogeneous, then the expected data in the Data Warehouse can be read well and used properly. Of course, in this case, required the existence of a consistent data format, so there is no conflict naming data in data entry, field, and table. It also expected not to occur consistently against the lack of units that exist within the data from different data sources, in general terms, the characteristics of the Integrated data analysis process makes use of Data Warehouse a better and effective.
In this case study, for example, the subject i.e. students. That is where the database will be integrated into the Data Warehouse. There are three information systems related to the subject of the students.
1. Academic information system that takes variable data the number of stem students, Students, students ' Value Name.
2. Payment Information System that takes the variable Payment data, School Year of payment.
3. Graduation information systems that take variable data ranked students who graduate.
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