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Data Warehousing and Data Mining

Description

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This course will introduce the concepts of data ware house and data mining, which gives a complete description about the principles, used, architectures, applications, design and implementation of data mining and data warehousing concepts.

What Will I Learn?

  • Understand the functionality of the various data
  • mining and data warehousing component
  • Appreciate the strengths and limitations of various
  • data mining and data warehousing models
  • Explain the analyzing techniques of various data
  • Describe different methodologies used in data
  • mining and data ware housing.
  • Compare different approaches of data ware
  • housing and data mining with various technologies.

Topics for this course

27 Lessons40h

Data Warehousing

Overview, Definition, Data Warehousing Components11:35
Enterprise Data Warehousing and Data Mart11:38
Characteristics, Advantage And Evolution11:04
Data warehouse architecture , Three Tier Architecture10:03
Difference Between Database System and Data Warehouse13:11
Mapping the Data Warehouse to a Multiprocessor Architecture8:51
Schemas in Data Warehouses9:22

Data Warehouse Process and Technology

Data Mining

Classification

Data Visualization and Overall Perspective

Notes

Free
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