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30 Hrs Instructor Led Training
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Dimensional Data Modeling Training
Dimensional Data Modeling training by Tekslate will help you master the concepts of Business Intelligence and Data Warehouse. It will make you proficient in building applications by leveraging capabilities of Kimball Lifecycle in a Nutshell, Facts, Drilling Down, Up, and Across, Dimension Table Keys, etc. You will also be allowed to work on the real-time implementation of Dimensional Data Modeling projects under the guidance of a professional trainer during training, which will help in clearing the Dimensional Data Modeling Certification Exam.
(4.5)
1604 Learners
Curriculum
A complete index of
job-ready skills curated
to meet the industrial need.
Explore.
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
- Identifying Business Processes
- Business Process Decoder Ring
- Relationship between Strategic Business Initiatives and Business Processes.
- Requirements
Data Architecture
- 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.
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
- 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 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
- 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.
Lesson 2
- DocApp
- Users and Group
- Alias Sets
- Lifecycle
- Workflows
- Hands-on with Live Example
We have made a tailored curriculum covering the latest industry-ready concepts to serve every individual’s learning desires.
Dimensional Data Modeling Training Objectives
1. What are the Dimensional Data Modeling course objectives?
After the successful completion of Dimensional Data Modeling training at Tekslate, the participant will be able to
- Get an overview of Data warehousing concepts, data modeling, and BI life cycle.
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Gain knowledge on concepts of Dimensional Data Modeling.
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Understand the relation between business metrics and dimensional data.
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Gain knowledge on similarities and differences between relational and dimensional data models.
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Build a logical dimensional model.
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Understand how dimensional data is used to deliver business analytics and OLAP capabilities.
2. Why should you learn Dimensional Data Modeling?
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There is a high market demand for Certified Dimensional Data Modelers in the industry and high salary packages are being offered to them.
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On average, a skilled Dimensional Data Modeler earns 116,606 USD per annum.
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Top multinational companies are recruiting Dimensional Data Modeling professionals.
3. Who should attend Dimensional Data Modeling training?
The following job roles will get benefited from learning this course:
- Aspirants aiming for a career in the prospective field.
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Project managers
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Data warehouse architects
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Data Modelers
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Database administrators
-
Business analysts
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ETL and BI application developers
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Professionals who want to extend their skill-set with advanced technologies.
4. What are the prerequisites for learning Dimensional Data Modeling?
As such, there are no prerequisites for learning Dimensional Data Modeling course. This course can be pursued regardless of learner’s skills.
5. What projects are included in this Dimensional Data Modeling training course?
We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.
contact us
+1 930 200 4823
Training Options
Different individuals. Different upgrade goals. Different modes of learning.
We got solutions for everyone looking for an AWS Architect course. Opt in for your convenient upgrade option, and we will guide you through.
| Duration |
| One-on-one Session |
| Support |
| Resources |
| Time |
| Fee |
Live Online. |
| 30 Hours |
| Yes |
| 24x7 |
| Additional tips from the trainer |
24 Jan 2022, 07:00 AM IST 31 Jan 2022, 07:00 AM IST |
Self-Paced |
| 30 Hours |
| No |
| Weekdays & Working Hours |
| Accessible through LMS |
| At your convenience |
Dimensional Data Modeling Training Upcoming Batches
Weekday
24 Jan, 2022 - 24 Feb, 2022
01:30 AM IST
Weekday
31 Jan, 2022 - 03 Mar, 2022
01:30 AM IST
Weekend
29 Jan, 2022 - 01 Mar, 2022
02:30 AM IST
Weekend
22 Jan, 2022 - 22 Feb, 2022
02:30 AM IST
Schedules Doesn't Suit You ?
Our Team can set up a batch at your convinient time.
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Success Stories from Future Digital Leaders
I have enrolled for Dimensional Data Modelling course in Tekslate. The trainer is a working professional and very supportive in solving queries with lots of patience and also provides excellent course content according to the industry demands.
Darshika
Tekslate is one of the leading online platforms for learning new courses. It provides certified trainers with real-time projects. I completed Dimensional data Modeling training last month at Tekslate and trainer is highly talented and provided course content according to the latest developments.
Elena
The support system is very effective in solving issues instantly and executing classes regularly and trainer has in-depth knowledge on core concepts and explains each topic in detail.
George
Dimensional Data Modeling Training FAQ'S
Have questions? We’ve got the answers. Get the details on how you can grow in this course.
1. Who are the trainers?
Our trainers are well experienced professionals and certified in working with front-end development technologies.
2. What if I miss a class?
We will record all the Live sessions you go through, and we will send the recording of the class you missed.
3. How will I execute the practical?
For practical execution, our trainer will provide server access to the student.
Join a Free Dimensional Data Modeling Training Demo Session
See if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate
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