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Data Warehousing Course Syllabus

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Through our Data Warehousing Course Syllabus dive deep into the architecture, design principles, and implementation strategies that drive efficient data management and analysis. Through a blend of theoretical insights and practical applications, this Data Warehousing Course Syllabus equips participants with the tools to harness the power of structured data for informed decision-making. So, go ahead and enroll in our Data Warehousing Training.

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Data warehousing Course Syllabus

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Introduction to Data warehousing
  • Who needs Data warehouse
  • Why Data warehouse is required
Types of Systems
  • OLTP
  • DSS
Maintenance of Data warehouse
  • Datawarehouslng Life cycle
  • Data warehousing Testing Ute Cycle
  • Source
Data warehousing Architecture
  • Integration Layer
  • Staging Area
  • Targets
  • Analysis & Reporting
  • HPQS
  • Introduction
Data Modelling
  • Different Phases of ModellIng
  • What Is a Dimension
Multi Dimensional Modelling
  • What are Facts
  • Multi Dimensional Model
  • Hierarchies
  • OLAP
  • MOLAP
  • ROLAP
  • HOLAP
  • Cubes and its Functions
  • Star Schema
  • Fact Table
  • Dimensional Tables
  • Snow flake Schema
  • Fact less Fact Table
  • Confirmed Dimensions
Data Modelling Tools
  • Forward Engineering
  • Reverse Engineering
  • Update Model, Alter database
  • Complete compare

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Breakdown of Data warehousing Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
April 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

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Coding Practices
Realtime Projects

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Interview Skills
CRM System Testing

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