Dimensional Data Modeling course is well-versed with topics regarding accurate data models for complex BI solutions. It also covers the concepts of facts and dimensions. The course curricula include:
Implementation Analysis & Paralysis
Kimball Methodology and Life Cycle in a Nutshell
Business Process Decoder Ring
Dimensional Modeling Fundamentals
Fact and Dimension Table Core Concepts
The training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you’ll master many advanced aspects of Dimensional Data Modeling.
As such there are no prerequisites for learning Dimensional Data Modeling. However, with a number of opportunities in the field, the following job roles will get benefited from this cours
Aspirants aiming for a career in the prospective field.
An in-depth knowledge of a Dimensional Data Modeling project ensures all the critical components are well-covered. With this knowledge, you can increase your visibility and enhance your efficiency in drawing real connections among different components of Dimensional Data Modeling. We will also provide the complete material covering all the aspects of this project.
An Engineer’s View
Beware the Objection Removers
What Does the Central Team Do?
Avoid DW/BI Isolation
Implementation Analysis & Paralysis
Kimball Lifecycle in a Nutshell
Think Critically When Applying Best Practices
Eight Guidelines for Low Risk Enterprise Data Warehousing.
Requirements Gathering Dos and Don’ts
Surprising Value of Data Profiling
Organizing around Business Processes
Focus on Business Processes
Identifying Business Processes
Business Process Decoder Ring
Relationship between Strategic Business Initiatives and Business Processes.
Making the Case for Dimensional Modeling
Is ER Modeling Hazardous to DSS?
A Dimensional Modeling Manifesto
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 Consistency
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.
Basics of Dimensional Modeling
Fact Tables and Dimension Tables
Drilling Down, Up, and Across
Myths about Dimensional Modeling
Fables and Facts.
Granularity, Declaring the Grain, Keep to the Grain in Dimensional Modeling
Types of Fact Tables
Factless Fact Tables
Sound Like Jumbo Shrimp
Parent-Child Fact Tables
Patterns to Avoid When Modeling Header/Line
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 Keys
Keep Your Keys Simple
Date and Time Dimension Considerations
It’s Time for Time
Surrogate Keys for the Time Dimension
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
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.
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
Users and Group
Hands on with Live Example
Dimensional modeling is a core of data modelling development and one of the methods to store the data for easy retrieval of the data from the database. A dimensional model consists of fact tables and lookup tables. Dimensions and hierarchies can be represented as lookup tables. Attributes are the non-key columns in the lookup tables. In designing data models for data warehouses, schema types used are Star Schema and Snowflake Schema. Dimensional data modeling training teaches how to Design the Dimensional Model in a proficient manner.
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.
As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like
New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…
Any certification program testifies the candidate’s skills and knowledge and recognizes their merit. Below are certain exams conducted on Dimensional Modeling of Data.
Advanced Data & Dimensional Modeling Certification
Dimensional Modeling Certification
These certificates authenticate the overall understanding of the solution by the candidate. By opting for our well-structured training at Mindmajix, candidates can gain knowledge to enter the lucrative domain of Dimensional Data Modeling and earn the certification.