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Data Warehousing and Data Mining An Introduction

Data Warehousing and Data Mining An Introduction. Objectives. Explain why data warehousing is a popular solution Describe data warehousing terminology Identify components of an implementation Explain the important of employing a method Identify modeling concepts

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Data Warehousing and Data Mining An Introduction

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  1. Data Warehousing and Data Mining An Introduction

  2. Objectives • Explain why data warehousing is a popular solution • Describe data warehousing terminology • Identify components of an implementation • Explain the important of employing a method • Identify modeling concepts • Identify the management and maintenance processes • Identify the hardware platforms that may be employed with a data warehouse • Identify the features of the database server

  3. Objectives • Identify tools that may be employed at each stage • Describe user profiles, and techniques for querying the warehouse • Identify data warehouse implementation issues and challenges • Position the products for the Oracle warehouse

  4. Data Warehousing and Data Mining • Fundamentals • Lesson 1 Data Warehouse Motive and Definition • Lesson 2 Components and Initiatives • Lesson 3 Trends and Terminology • Lesson 4 Warehouse Data • Lesson 5 Data Modeling • Lesson 6 Data Warehouse Method

  5. Data Warehousing and Data Mining • Advanced Topics • Lesson 7 Case Study • Lesson 8 Extraction and Transformation • Lesson 9 Transportation • Lesson 10 Metadata • Lesson 11 Computer Architectures and Database Server

  6. Data Warehousing Fundamentals • Data Mining and Applications • Lesson 12 User Profiles • Lesson 13 Data Access • Lesson 14 Data Mining • Lesson 15 Issues and Challenges • Lesson 16 Oracle Warehouse - Server and Development • Lesson 17 Oracle Warehouse - Access and Services • Lesson 18 Futures and Course Summary

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