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Course Details

Data Models are fundamental begin to introduce abstraction in a DBMS. Data models represent how data is linked to each other and how they are stored and processed inside the system. Database modeling is the idea of designing a database structure that represents how reserved information can be categorized, manipulated and accessed. It’s the very foundation of a database design effort, and the specific data model employed drives the overall development endeavors and database diagram.

Dimensional Data Modeling Online Training Concepts

Project/Program Planning

Professional Responsibilities, Professional Boundaries, An Engineer’s View, Beware the Objection Removers, What Does the Central Team Do?, Avoid DW/BI Isolation, Implementation Analysis Paralysis, Kimball Methodology, Kimball Lifecycle in a Nutshell, Think Critically When Applying Best Practices, Eight Guidelines for Low Risk Enterprise Data Warehousing

Requirements Definition

Gathering Requirements, Business Requirements, Requirements Gathering Dos and Don’ts, Surprising Value of Data Profiling, Organizing around Business Processes, Focus on Business Processes, Not Business  Departments!, Identifying Business Processes, Business Process Decoder Ring, Relationship between Strategic Business Initiatives and Business Processes Wrapping Up the


Data Architecture

Making the Case for Dimensional Modeling, Is ER Modeling Hazardous to DSS?, A Dimensional Modeling Manifesto, There Are No Guarantees, Enterprise Data Warehouse Bus Architecture, Divide and Conquer, The Matrix,The Matrix: Revisited, Drill Down into a Detailed Bus Matrix, Integration Instead of Centralization, Integration for Real People, Data Stewardship : The First Step to Quality And ÂConsistency, To Be or Not To Be Centralized, Contrast with the Corporate Information Factory, Differences of Opinion, Don’t Support Business Intelligence with a Normalized EDW

Dimensional Modeling Fundamentals

Basics of Dimensional Modeling, Fact Tables and Dimension Tables, Drilling Down, Up, and Across, Myths about Dimensional Modeling, Dangerous Preconceptions, Fables and Facts

Fact Table Core Concepts

Granularity, Declaring the Grain, Keep to the Grain in Dimensional Modeling, Types of Fact Tables, Fundamental Grains, Factless Fact Tables, Factless Fact Tables? Sound Like Jumbo Shrimp?, What Didn’t Happen, Parent-Child Fact Tables, Patterns to Avoid When Modeling Header/Line, Item Transactions, Fact Table Keys and Degenerates, Fact Table Surrogate Keys, Reader Suggestions on Fact Table Surrogate Keys, Miscellaneous Fact Table Design Patterns, Put Your Fact Tables on a Diet, Keeping Text Out of the Fact Table, Dealing with Nulls in a Dimensional Model

Dimension Table Core Concepts

Dimension Table Keys, Surrogate Keys, Keep Your Keys Simple, Date and Time Dimension Considerations,It’s Time for Time, Surrogate Keys for the Time Dimension, Latest Thinking on Time Dimension Tables, Smart Date Keys to Partition Fact Tables, Handling All the Dates, Miscellaneous Dimension Patterns, Data Warehouse Role Models, Mystery Dimensions, De-Clutter with Junk Dimensions, Showing the Correlation Between Dimensions, Causal (Not Casual) Dimensions, Resist Abstract Generic Dimensions, Hot-Swappable Dimensions, Accurate Counting with a Dimensional Supplement, Slowly Changing Dimensions, Perfectly Partitioning History with Type SCD, Many Alternate Realities, Monster Dimensions, When a Slowly Changing Dimension Speeds Up, When Do Dimensions Become Dangerous?, Slowly Changing Dimensions Are Not Always as easy as

More Dimension Patterns and Case Studies

Snowflakes, Outriggers, and Bridges, A Trio of Interesting Snowflakes, Help for Dimensional Modeling, Managing Bridge Tables, The Keyword Dimension, Dealing with Hierarchies, Maintaining Dimension Hierarchies, Help for Hierarchies, Five Alternatives for Better Employee Dimensional Modeling, Alternate Hierarchies

Course Reviews


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    • I have enrolled last month, and finished the course... As a working professional, they given me an exposure to the domain, but also helped to learn the cross technologies and develop an inclination to ...
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