Instructor Led Fact Tables Training
Fact Tables Training Provider? - Tell us about your Training!
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 instructor-led class |
 learn at home |
 group study |
 self-directed study |
 cd-based training |
 DVD video training |
 printed book |
 e-book digital book |
 workshop seminar |
 train the trainer |
 computer-based learning |
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 online tutorial |
From iWare Logic
Oracle BI Suite EE 10g R3 Build Repositories
...e many-to-many relationships between dimension tables and fact tables
a Using helper tables to model many-to-many relationships for team-based hierarchies in a dimension
Configuring Oracle Business Intelligence data and metadata to support multilingual environments
Setting an Implicit Fact Column
a Adding fact columns automatically to dimension-only queries
a Ensuring the
more...
Oracle BI Suite EE 10g R3 Build Repositories
...e many-to-many relationships between dimension tables and fact tables
a Using helper tables to model many-to-many relationships for team-based hierarchies in a dimension
Configuring Oracle Business Intelligence data and metadata to support multilingual environments
Setting an Implicit Fact Column
a Adding fact columns automatically to dimension-only queries
a Ensuring the
more...
From L'Obel IT-Palaestra
ZITT ET Certified Data Warehousing Training Courses
... * Star schema
* Snowflake schema
* Types Of Fact Tables:
* Cumulative
* Snapshot
* Fact less Fact
* Types Of Facts:
* Additive
* Semi Additive
* Non Additive
* Confirmed Dimension
* Confirmed Fact
* Degenerated Dimension
* Casual Dimension
* ODS
* Cube
* Hierarchies
* Slowly changing Dimension Concepts
more...
... * Star schema
* Snowflake schema
* Types Of Fact Tables:
* Cumulative
* Snapshot
* Fact less Fact
* Types Of Facts:
* Additive
* Semi Additive
* Non Additive
* Confirmed Dimension
* Confirmed Fact
* Degenerated Dimension
* Casual Dimension
* ODS
* Cube
* Hierarchies
* Slowly changing Dimension Concepts
more...
L'Obel Data Warehousing Training
...
* Schemas
* Star schema
* Snowflake schema
* Types Of Fact Tables:
* Cumulative
* Snapshot
* Fact less Fact
* Types Of Facts:
* Additive
* Semi Additive
* Non Additive
* Confirmed Dimension
* Confirmed Fact
* Degenerated Dimension
* Casual Dimension
* ODS
* Cube
* Hierarchies
* Slowly changing Dimension Concepts
* OLAPa s
Erwin
* Getting Started
* Erwin Workplace
*
more...
...
* Schemas
* Star schema
* Snowflake schema
* Types Of Fact Tables:
* Cumulative
* Snapshot
* Fact less Fact
* Types Of Facts:
* Additive
* Semi Additive
* Non Additive
* Confirmed Dimension
* Confirmed Fact
* Degenerated Dimension
* Casual Dimension
* ODS
* Cube
* Hierarchies
* Slowly changing Dimension Concepts
* OLAPa s
Erwin
* Getting Started
* Erwin Workplace
*
more...
From Wise Ltd.
Data Warehousing Fundamentals training course
This dimensional modelling techniques course is designed to answer questions, such as the following:
- What is data warehousing?
- What is a data mart?
- What are the data modelling options?
- What is Extract, Transform and Load (ETL)?
- What are the terms and concepts specific to data warehousing and OLAP design?
- How to plan and implement a data warehouse with high availability,
more...
This dimensional modelling techniques course is designed to answer questions, such as the following:
- What is data warehousing?
- What is a data mart?
- What are the data modelling options?
- What is Extract, Transform and Load (ETL)?
- What are the terms and concepts specific to data warehousing and OLAP design?
- How to plan and implement a data warehouse with high availability,
more...
From Wintrac Inc.
Oracle9i Data Warehouse Administration
...rehouse concepts are considered such as dimension tables, fact tables and star schemas. Implementing such logical concepts using the Oracle database is then presented including defining dimensions, hierarchies, measures and other objects. Physical implementation techniques are considered such as bitmap indexes, partitioned tables, materialized views, and others. Emphasis is placed on the
more...
From Corporate Education Group
Object and Data Modeling Workshop
Project failures or cost overruns can often be traced to Business Requirements documentation that is incomplete, inconsistent or ambiguous. Object and data modeling address all three issues:
Complete documentation is ensured through model-driven interview techniques that ensure that all the right questions get asked.
Consistent documentation is obtained through modeling techniques that
more...
Project failures or cost overruns can often be traced to Business Requirements documentation that is incomplete, inconsistent or ambiguous. Object and data modeling address all three issues:
Complete documentation is ensured through model-driven interview techniques that ensure that all the right questions get asked.
Consistent documentation is obtained through modeling techniques that
more...
