infyni

Data Mining & Warehousing

A data warehouse is database system which is designed for analytical analysis instead of transactional work.

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Duration: 12 Hours

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Offered by: infyni

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About Course

Data Warehousing is where data is stored. Data warehousing also includes the process of aggregating data from various database sources into one place for efficient access and analysis. Another aspect of data warehousing is the architecture of the data. Data Mining is the process of extracting value from the data stored in the data warehouse. Data mining includes the process of transforming raw data sources into a consistent schema to facilitate analysis; identifying patterns in a given dataset, and creating visualizations that communicate the most critical insights. There is hardly a sector of commerce, science, or technology that isn’t using data mining to accelerate its objectives.

  • Topics
  • Instructor
  • Need for data warehousing, basic elements of data warehousing, Trends in data ware housing.Principles of dimensional modeling, Dimensional modeling advanced topics, data extraction, transformation and loading, data quality,Matching information to classes of users, OLAP in data warehouse, Data warehousing and the web. Implementation And Maintenance: Physical design process, data warehouse deployment,
  • Basics of data mining, related concepts, Data mining techniques Data Mining Algorithms: Classification, Clustering,Web Content Mining, Web Structure Mining, Web Usage mining. Advanced Topics: Spatial mining, Temporal mining. Visualization : Data generalization and summarization-based characterization, Analytical characterization: analysis of attribute relevance,Data mining Primitives, Query language, Designing GUI based on a data mining query language, Architectures of data mining systems.