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    Course Details

    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.

    Dimensional Data Modeling Training Overview

    Our training deliver modern perspective of developing data. The sessions cover characteristics of data model, normalization and entity relationships. The classes range from basic to advanced techniques over the spectrum of skills that we teach with workshops, exercises and homework.

    Dimensional Data Modeling Training Curriculum

     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.

    Gathering Requirements
    Business Requirements
    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
    Dangerous Preconceptions
    Fables and Facts.

    Granularity, Declaring the Grain, Keep to the Grain in Dimensional Modeling
    Types of Fact Tables
    Fundamental Grains
    Factless Fact Tables
    Sound Like Jumbo Shrimp
    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 Keys
    Surrogate 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
    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.

    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.


    Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

    We record each LIVE class session you undergo through and we will share the recordings of each session/class.

    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 Online 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

    Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad,  San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…

    • Dimensional Data Modeling Training Washington, DC
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