Question

Operational infrastructure and physical infrastructure in data mining

Answer 1

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.[1]DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place[2] that are used for creating analytical reports for workers throughout the enterprise.[3]
The data stored in the warehouse is uploadedfrom the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing[2] for additional operations to ensure data quality before it is used in the DW for reporting.
The typical extract, transform, load (ETL)-based data warehouse[4] uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups, often called dimensions, and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.[5]

Answer 2

Operational Infrastructure of data mining:

Subject oriented: it gives information related to a theme instead of companies’ ongoing operation. It put importance on modeling and scanning of data for decision making.

Integrated: From the different varied sources, a data source is developed for example mainframe, flat file, relational database, etc.

The physical infrastructure of data mining:

Single tier architecture: The main role of this single-tier architecture is to minimize the stored data.

Two-tier architecture: it separates sources which is physically available and also the data warehouse.

Three-tier structure: it is the most frequently used architecture. It consists of the middle tier, top tier, bottom tier.

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