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What is Data warehousing?
Data Warehousing is a total architecture for collecting, storing, and delivering decision support data for an entire enterprise. Data warehousing is a broad area that is described point by point in this series of tutorials.
William (Bill) H. Inmon has provided an alternate and useful definition, “A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.”
Online IT training at Slakeosft Solutions
As a total architecture it includes people, processes and technologies to achieve its goal which is to provide decision support data that is:
Data warehousing and business intelligence efforts improve decision making which in turn provides numerous benefits including:
William (Bill) H. Inmon has provided an alternate and useful definition, “A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.”
Online IT training at Slakeosft Solutions
As a total architecture it includes people, processes and technologies to achieve its goal which is to provide decision support data that is:
- Consistent across the enterprise
- Integrated
- Standardized
- Easy to access from multiple viewpoints
- Easy to understand
- Benefits of Data Warehousing
Data warehousing and business intelligence efforts improve decision making which in turn provides numerous benefits including:
- Identifies ways to increase revenues or results
- Helps to control costs
- Helps to manage risks
- Helps to increase customer satisfaction
For more details about online Data ware housing training visit: Slakesoft Solutions
Data Warehousing course content
Course Content:
Online IT training at Slakesoft Solutions
INTRODUCTION:
Transaction Database
Transaction Database Definition and features
E-R Data Model Database Normalization using
Six Normal Forms Database Denormalization.
Warehouse Database
Data Warehouse Definition and Features
Difference between Transaction Database and Warehouse Database
Dimensional Data Model
Star Schema Model
Star Flake Schema Model
Snow Flake Schema Model
Extended Star Schema Model
Galaxy Schema Model
Cube Designing using different models
Denormalization of Data Warehouse
Other Databases Data Mart Staging Database Operation Data Storage/Source (ODS)
Database Modeling using ERWIN Logical Data Model and Physical Data Model Models,
Subject Areas and Display Objects Entities,
Relations,
Attributes and Business Rules Relation Cardinalities,
Verb Phrases,
Relation Types & Referential Integrity ERWin Macros,
Model Properties,
Model Mart
For more details about online Data ware housing training visit: Slakesoft Solutions
Online IT training at Slakesoft Solutions
INTRODUCTION:
Transaction Database
Transaction Database Definition and features
E-R Data Model Database Normalization using
Six Normal Forms Database Denormalization.
Warehouse Database
Data Warehouse Definition and Features
Difference between Transaction Database and Warehouse Database
Dimensional Data Model
Star Schema Model
Star Flake Schema Model
Snow Flake Schema Model
Extended Star Schema Model
Galaxy Schema Model
Cube Designing using different models
Denormalization of Data Warehouse
Other Databases Data Mart Staging Database Operation Data Storage/Source (ODS)
Database Modeling using ERWIN Logical Data Model and Physical Data Model Models,
Subject Areas and Display Objects Entities,
Relations,
Attributes and Business Rules Relation Cardinalities,
Verb Phrases,
Relation Types & Referential Integrity ERWin Macros,
Model Properties,
Model Mart
For more details about online Data ware housing training visit: Slakesoft Solutions
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