DATA WAREHOUSING - TECHNICAL TALK - WORKSHOP - By Microsoft Awarded Azure MVP
DATA WAREHOUSING
TECHNICAL TALK- WORKSHOP
Agenda:
Technologies Focused : Data Warehousing
Agenda:
Technologies Focused : Data Warehousing
Number of Students : 80
Date of the Programme : 27-02-2018
Location of the Programme :Chennai KaaShiv InfoTech
Programme Mission :
1. Social activities in spreading Microsoft Technologies to the students.
2. Awareness on Microsoft SQL Servers and security.
3. Practical demos on Microsoft SQL Servers
4.Micosoft Today: Advanced SQL Server Applications in Azure.
5.Talk on SQL Applications and Its features.
Overview of Data Warehousing:
What is Data Warehousing-How Data warehouse helps to the business Stockholder-:
Features of Data Warehousing:
Terminology of Building Data Warehouse-Dimensions,Measures and Related Concepts-Additive measures-Semi-additive measures-Non-additive measures-Hierarchy-Data Mart -Member:
Terminology of Building Data WarehouseFacts -and Dimension Tables:
Terminology of Building Data Warehouse-Star and Snow Flake Schema:
Terminology of Building Data Warehouse-Indexing Considerations:
Terminology of Building Data Warehouse-Slowly Changing Dimensions:
Terminology of Building Data Warehouse-Extraction,Transformation and Loading:
Additional Information About Datawarehousing:
1. Social activities in spreading Microsoft Technologies to the students.
2. Awareness on Microsoft SQL Servers and security.
3. Practical demos on Microsoft SQL Servers
4.Micosoft Today: Advanced SQL Server Applications in Azure.
5.Talk on SQL Applications and Its features.
4.Micosoft Today: Advanced SQL Server Applications in Azure.
5.Talk on SQL Applications and Its features.
Overview of Data Warehousing:
Features of Data Warehousing:
Terminology of Building Data WarehouseFacts -and Dimension Tables:
Terminology of Building Data Warehouse-Star and Snow Flake Schema:
Terminology of Building Data Warehouse-Indexing Considerations:
Terminology of Building Data Warehouse-Slowly Changing Dimensions:
Terminology of Building Data Warehouse-Extraction,Transformation and Loading:
Additional Information About Datawarehousing:
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