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BUSINESS DRIVEN TECHNOLOGY Data Warehouses, OLAP and Data Mining

BUSINESS DRIVEN TECHNOLOGY Data Warehouses, OLAP and Data Mining. DATA WAREHOUSE FUNDAMENTALS. Data warehouse – a logical collection of information – gathered from many different operational databases – that supports business analysis activities and decision-making tasks

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BUSINESS DRIVEN TECHNOLOGY Data Warehouses, OLAP and Data Mining

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  1. BUSINESS DRIVEN TECHNOLOGY Data Warehouses, OLAP and Data Mining

  2. DATA WAREHOUSE FUNDAMENTALS • Data warehouse – a logical collection of information – gathered from many different operational databases – that supports business analysis activities and decision-making tasks • The primary purpose of a data warehouse is to aggregate information throughout an organization into a single repository for decision-making purposes

  3. DATA WAREHOUSE FUNDAMENTALS • Extraction, transformation, and loading (ETL) – a process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse • Data mart – contains a subset of data warehouse information

  4. Data Warehouses What Is a Data Warehouse?

  5. DATA WAREHOUSE FUNDAMENTALS • Data Warehouse Model

  6. MULTIDIMENSIONAL ANALYSIS AND DATA MINING • Databases contain information in a series of two-dimensional tables • In a data warehouse and data mart, information is multidimensional, it contains layers of columns and rows • Dimension – a particular attribute of information

  7. MULTIDIMENSIONAL ANALYSIS AND DATA MINING • Cube – common term for the representation of multidimensional information

  8. Data Warehouses and Data MiningData Marts – Smaller Data Warehouses • Data mart - a subset of a data warehouse in which only a focused portion of the data warehouse information is kept.

  9. MULTIDIMENSIONAL ANALYSIS AND DATA MINING • Data mining – the process of analyzing data to extract information not offered by the raw data alone • To perform data mining users need data-mining tools • Data-mining tools – use a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision making • Include query tools, reporting tools, multidimensional analysis tools, statistical tools, and intelligent agents

  10. OLAP & Data Mining Tools

  11. Data Mining Applications

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