Online Dimensional Data Modeling Training
Online Dimensional Data Modeling Training | Data Warehouse Training | Data Mart Training
The dimensional data modeling training explains how to design Data Ware House and Data Marts from OLTP data models using Erwin (OR) Power Designer (OR) Oracle SQL Data Modeler!
To get more information about this training program, send an email to AntonysTrainingAndSolution@gmail.com or call us @ 91-9080157239.
- Weekday Batch Starts On: 14th October, 2019.
- We also offer Training at your convenient time slots! Please call us at 91-9080157239 for more details!
- Mode of Training: Online Through GotoMeeting.
- Course Fee: $150 (One hundred and fifty US Dollars) or (10,500 Rs) per person
- Mode of Payment: To USA Savings Account or India Savings Account or through www.Xoom.com
- Total no. of theoretical/Practical classes: At least 10 Hours (Will be extended if required)
- Course Materials: Course Material will be Provided
- Instructor: Neelesh (US Employee) & Antony (Owner of LearnDataModeling.com)
- Office: USA and Chennai
- Internet connection
- Lap Top or Desk Top
- Will be provided.
- How to capture Driver, Rider and Ride Information in OLAP Data Model for UBER/OLA?
- How to create OLAP/SaaS Data Model for Microsoft Office 365 or similar Software Product?
- How to create Clinic OLAP Data Model from a Receipt?
- How to create OLAP Data Model for Point of Sales (POS) transactions?
Case Study – Exercise:
- How to create OLAP Data Model for 1003 URLA Form?
- How to create OLAP Data Model for Banking/Debit Card Transactions?
Training Data Model Samples:
- POS (Point of Sales Data Model)
- Banking Data Model
- Mortgage Data Model
Part 1 – Dimensional Data Modeling (OLAP):
- Need for Strategic Information
- Examples of Business Objectives
- Characteristics of Information
- Operational Systems – OLTP
- Examples of Operational Systems
- Decision Support Systems – OLAP
- Operational VS Decision Support
Part 2 – Introduction to Data Warehouse:
- Data Warehouse Definition
- Data Marts
- Data Warehouse and Data Mart
- Pioneer of Data Warehousing (Inmon)
- Bill Inmon’s Approach (HUB and Spoke Architecture)
- Pros and Cons of Inmon’s Approach
- Pioneer of Data WareHousing (Ralph Kimball)
- Ralph Kimball’s Approach (Bus Architecture)
- Pros and Cons of Kimball’s Approach
- What is ETL?
- Things to learn for mapping/Data mapping
Part 3 – Business Intelligence:
- Dimensional Modeling
Part 4 – Different types of Fact Tables:
- Transactional Facts
- Snapshot or inventory
- Factless Facts
- Semi Additive and Non Additive Facts
Part 5 – Dimension Tables:
- Dimension Types
- Degenerate Dimensions
- Denormalized Flattened Dimensions
- Snowflaked Dimensions
- What is Causal Dimension?
- What is Junk Dimension?
- What is Outrigger Dimension?
Part 6 – Designing Star Schema:
- Building Blocks Together
- Dimensional Model
- Dimensional (Star) Schema
- Declare the grain of Business Process
- 4 Steps Dimensional Model Design Process
- Identify Business Process
- Identify Grain
- Identify Dimensions
- Identify Facts
Part 7 – Slowly Changing Dimension Techniques:
- Type 1
- Type 2
- Type 3
Part 8 – Big Data Data Modeling:
- Design data model of large volumes of Data (Large Volumes of Data) with RDBMS structure
To get more information about this training program, send an email to Training@LearnDataModeling.Com 0r call us @ 91-9080157239.