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Dimensional Data Modeling Training

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  • Trainee and Advanced Level Classes Are Available.
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  • with Over 12 Years of Expertise, I am a Dimensional Data Modeling Certified Expert.
  • 13492 Students Have Been Trained, and 370 Clients Have Been Found.
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29- Mar - 2023

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25- Mar - 2023

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25- Mar - 2023

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Best Practices on Job Oriented Modules Covered in Dimensional Data Modeling Training

Get Train Our Effective Dimensional Data Modeling Course

  • Our Dimensional Data Modeling Training course is designed to provide high-quality instruction that combines fundamental knowledge of core topics with a hands-on approach.
  • ACTE Training offers the most up-to-date and industry-relevant dimensional data modeling training available to help you advance your professional career.
  • Gathering Requirements, Kimball Lifecycle, in a Nutshell, Drilling Down, Up, and Across, Dimension Table Keys, and other capabilities are used in the training to make you an expert in designing applications.
  • Furthermore, extensive training aids in the development of knowledge in this broad sector, allowing you to complete your everyday activities with ease.
  • Our skilled instructors offer the lectures in a more hands-on manner, allowing students to obtain real-world experience.
  • Join ACTE to receive an industry-oriented dimensional data modeling training course from experienced mentors.
  • This qualification proves your capacity to manage real-time work and sets you apart from the competitors.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Dimensional Data Modeling image careers tend to come back with high salaries.
  • Often, these specialists will work from home, and that they conjointly take pleasure in opportunities obtainable across many various industries.
  • In general, employers explore for information visual image professionals.
  • United Nations agency frequently increases their skills and data within the field.
Dimensional Data Modeling (DM) is a data structure technique optimized for data storage in a Data warehouse. The purpose of dimensional modeling is to optimize the database for faster retrieval of data.
Dimensional Data Modeling training makes you an expert in these,
  • Building the applications by leveraging capabilities of Gathering Requirements
  • Kimball Lifecycle in a Nutshell
  • Drilling Down and Up
  • Across Dimension Table Keys
Dimensional Data Modeling is the process of creating a visual representation of either a whole information system or parts of it to communicate connections between data points and structures. These business rules are then translated into data structures to formulate a concrete database design.
  • Measurement tables store the historical backdrop of the dimensional data.
  • It permits to presented altogether new measurement without significant disturbances to the real table.
  • In contrast with the standardized model, dimensional tables are more obvious.
  • Data is gathered into clear and straightforward business classifications.
Dimensional Data Modeling is like a large environment you can know the basics for 2 or 3 months, but each requirement will be challenging as each lock has a different key. You can know the syntax, but to write the logic were to use how to use it, this can take time.
For designing a dimensional model to create/maintain a Datamart /ODS/Start schema we use tools. Various tools are,
  • Erwin Tool
  • Power Designer Tool
  • Oracle Designer

Will ACTE helps me with placement after Dimensional Data Modeling training completion?

ACTE is an online open platform designed for Job Seekers and Career Candidates. Welcome to our global platform for a bright future. ACTE has got tie-ups with over 900 plus corporations. Our platform is allowable for everyone irrespective of age, gender, location, area of interest, qualification, etc. To compare with many organizations of various verticals and vice versa. We help companies to find the best applicant for them.

Is it hard to learn Dimensional Data Modeling Online Training?

Dimensional Data Modeling is not as easy to create as they look. There is a lot of work and effort that goes into it. There needs to be the right balance between all the visual elements and data. If you do too little or too much, your visualization will never create an impact.

What are the requirements to learn Dimensional Data Modeling Training?

Dimensional Modelling is an approach to make it easier and faster to store, read, summarize and analyze information in a data warehouse. one should have prior knowledge on,
  • DB2
  • Oracle
  • SQL Server
  • Teradata

Mention the different stages of Dimensional Data Displaying?

  • Recognize Business Process
  • Distinguish Grain
  • Recognize Dimensions
  • Distinguish Facts
  • Assemble Star

Who are the perfect ones to enroll in Dimensional Data Modeling Training?

This dimensional modeling training course is best recommended for those who have some experience working in data warehousing environments as,
  • ETL Lead
  • Architect
  • Business Analysts
  • Database Administrators
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Overview of Dimensional Data Modeling Training

Dimensional Data Modeling is an expert who can develop applications by use of collecting requirements capability, Kimball's lifecycle in the nutshell, Drilling Down, Up and Across, Dimension Table Keys. etc. Our Dimensional Data Modeling online Course strives to offer high-quality training that provides a sound and practical approach to essential ideas. Such exposure to contemporary applications and scenarios will assist students to develop their skills and implement best practices in real-time projects.

This Dimensional Data Modeling Course teaches the essential strategies for developing the data warehouse, data marts, or cubes for the reporting and analysis of business intelligence. Our curriculum covers all concepts for gaining real-time expertise in dimensional data modeling through the construction of applications, thereby leveraging collection requirements capabilities, the cycle of Lyman-sized Kimball, drilling, up, cross-sectional size table keys, etc. Our skilled coaches provide the lecturers with a realistic experience in a more practical approach.

Additional Info

About Dimensional Data Modeling Course :

The Dimensional Data Modeling course approach is an optimization of data structuring for warehouse storage. Data retrieval can be made faster with dimensional modeling by optimizing the database. Ralph Kimball developed the concept of Dimensional Modelling based on "fact" and "dimension" tables. Within a data warehouse, a dimensional model is used to read, summarize, and analyze numerical data like values, balances, counts, weights, etc. Contrary to relation models, an Online Transaction System optimizes the addition, updating and deletion of data in real time.

There are specific advantages to these techniques for storing data that are unique to these dimensional and relational models.The normalization and ER models, for example, work together to reduce redundancy in data in the relational mode. However, data warehouse dimensions are organized so that locating information and generating reports are easier.

Dimensional Data Modelling : Key Features :

Due to its unique way of analyzing data in multiple Data Warehouses, Data Dimensional Modeling has gained popularity. Following are the three main features of DDM :

  • Simple to Understand :

    It enables developers to quickly and easily design and build databases and schemas that can be easily understood by business users. A simple relationship between Dimensions and Facts can be read and understood.

  • Ensure data quality :

    Facts and Dimensions are loaded into DDM schemas because the schemas enforce data quality. Foreign keys are used as constraints to prevent the loading of fraudulent data onto Schemas because Dimension and Fact are tying together.

  • Performance optimization :

    DDM divides data into Dimensions and Facts and ties them together with foreign keys, reducing the amount of redundant data. Optimized data is stored in a smaller volume and is retrievable more quickly since it is stored in an optimized format.

Modeling Dimensional Data: The Components

The five most important components of any DDM are as follows. The following are a few of them.

  • Dimension
  • Facts
  • Attributes/Measures
  • Fact Tables
  • Dimension Tables
1. Dimension :

Business dimensions are set of information containing information specific to a particular business measurement. For example, topographical information, item data, contact information, and so on. The creation of a Fact is contextualized by dimensions.

2. Facts :

Various business processes produce measurements, metrics, transactions, etc., which form the facts. The data usually consists of business transactions and measurements.

3. Attributes / Measures :

A dimension table has attributes as its elements. An account Dimension, for instance, could have the following attributes :

  • First Name
  • Last Name
  • Date of Birth, etc.
  • 4. Fact Tables :

    In businesses, facts tables are used to store measurements or transactions. A Fact can, for example, store the number of items requested in Internet business. The rows in Fact Tables are usually huge, and the columns are few. Unlike Dimension Tables, Fact Tables have keys that are known as Foreign Keys.

    5. Dimension Tables :

      Business Dimensions are stored in Dimension Tables and provide some context for Facts. A link between the descriptions and the fact tables can be found in them. Columns in Dimension Tables are usually large, and there are fewer rows. Dimension Tables are usually optimized tables. Here are a few examples:

    • Names, addresses and phone numbers can be viewed in contact information.
    • You can view product information by product-code, brand, color, etc.
    • You can view store information based on your city, state, and country.

Duties and Responsibilities of the Data Modeler :

  • Transform long-term solutions into appropriate data models by understanding and translating business needs.
  • Developing conceptual data models and data flows with the Application Development team.
  • To ensure high data quality, and to reduce duplicate data, develop logical and physical data models as per best practices.
  • Ensure logical and physical data models are optimized and updated to support new projects.
  • Develop and maintain conceptual, logical, and physical data models, corresponding metadata, and their links.
  • Identify and develop best practices for standard naming conventions and coding practices to ensure consistency throughout the data model.
  • Assess data model reusability opportunities in new environments.
  • From databases and SQL scripts, reverse engineer a physical data model.
  • Assess variances and discrepancies in data models and physical databases.
  • Verify the accuracy and completeness of business data objects.
  • Analyze the challenges and recommend solutions to integrate data-related systems.
  • Developing data models in accordance with company standards.
  • Ensure that System Analysts, Engineers, Programmers, and others know what project limitations and capabilities, and performance requirements, and how projects should be integrated.
  • Improve the efficiency and performance of existing software by reviewing modifications.
  • Review new application design and recommend any necessary corrections.

Modeling Dimensional Data : Types of Dimensions

When dealing with Dimensional Data Modelling, there are nine types of measurements. Here they are :

    1. Conformed Dimension

    2. Outrigger Dimension

    3. Shrunken Dimension

    4. Role-Playing Dimension

    5. Dimension to Dimension Table

    6. Junk Dimension

    7. Degenerate Dimension

    8. Swappable Dimension

    9. Step Dimension

  • Conformed Dimension :

    Dimensions that are Conformed are Dimensions that are similar to all Facts they are associated with. In Data Warehouse, Dimensions and Facts can be categorized using this type of Dimension.

  • Outrigger Dimension :

    As the name suggests, an Outrigger Dimension is a type of Dimension that connects different Dimension Tables.

  • Shrunken Dimension :

    Data entities of a Shrunken Dimensions subset can be viewed as a subset of more general data entities. As in the Subset Dimension, the common attributes between the subset and general set are represented in the same way as in the General Dimension.

  • Role-Playing Dimension :

    Role-Playing Dimensions are a type of table that has multiple valid relationships depending on what else they relate to. Role-Playing Dimensions, such as time and customers, are common examples. They can be utilised in situations where certain Facts don't share the same concept.

  • Dimension to Dimension Table :

    The Star Schema of a data warehouse contains tables that correspond to this type. Each Fact Table is surrounded by several Dimension Tables in a Star Schema. In every Dimension Table, there is a corresponding Dimension.

  • Junk Dimension :

    The Junk Dimension refers to a dimension constituted by two or more low-cardinality Facts of related nature. These tables are also used to reduce the dimensions of dimension tables and to reduce the columns from fact tables.

  • Degenerate Dimension :

    Alternatively, a fact dimension is referred to a degenerate dimension. Dimensions are built by using attribute columns of Fact Tables as columns in dimension definitions. To avoid duplication of data, Fact Tables are sometimes used.

  • Swappable Dimension :

    During query processing, Swappable Dimensions can change into multiple versions of themselves. As with the original Dimension, this Dimension has a different structure and fewer data points than the original Dimension. This Dimension also has different inputs and outputs.

  • Step Dimension :

    The purpose of this Dimensional Data Modeling online course is to explain how a particular step fits into the wider process. There are numerous steps required to complete each step, each of which is assigned its own step number.

Dimensional Data Modeling Benefits :

Knowing what Dimensional Data Modeling is and why it is so important, you can imagine how many benefits it provides to the company. Below are a few of those benefits :

1. Dimensional tables are used to store the history of data and they allow easy access to data across a wide array of businesses.

2. There is no need to alter existing Dimensions and Facts in the Schema to introduce new Dimensions.

3. Tables with dimensions and facts are easier to read and understand compared to regular tables.

4. The business understands the dimension models because they are written in terms of the business.

5. When creating a Data Warehouse Schema, dimensioned data modelling optimizes performance. It aids in reducing the amount of redundancy in data and also reduces joins between tables.

6. Performance is also boosted by using the Dimensional Data Model. Querying is more efficient because the table is denormalized.

7. The change can be accommodated comfortably with Dimensional Data Models. Columns can be added to Dimension Tables without affecting existing Business Intelligence applications that use these tables.

Dimensional Data Modeling Limitations :

    Even though Dimensional Data Modelling is very important for any organization, there are certain limitations to consider for companies when implementing it. The following limitations are listed :

  • Data domain knowledge is necessary for designing and creating Schemas.

  • Loading the Data Warehouses with records from multiple operational systems is difficult to maintain the integrity of Facts and Dimensions.

  • If an organization adopts Dimensional techniques and changes the way they do business, then it is difficult to modify its Data Warehouse operations.

  • The DDM technique has despite these limitations been found to be among the easiest and most efficient methods of handling data in Data Warehouses.

Dimensional Modeling Objectives :

Dimensional Modeling Serves the Following Purposes :

1. The Goal is to provide an architecture that is easy to understand and to write queries for end-users.

2. To make queries as efficient as possible. Those goals are achieved by reducing the number of tables and the relationships among them.

Dimensional Modeling Advantages :

Dimensional Modeling has the Following Benefits :

  • Dimensional Modeling is Easy to Understand : Database schemas can be created using dimension modeling methods that are easy to hold and understand by warehouse designers. Diagrams do not require extensive training, and different elements of the data do not need to be connected in complex ways. In order to increase the quality of data, it is necessary to run a three-dimensional model.

    The star schema enables warehouse administrators to enforce referential integrity checks on their data warehouses. Since the fact information key is compiled from the essentials of the dimensions for which it is related, a factual record is deemed active if its dimensions have been duly described in the database and are also present.

    DBAs can protect warehouse data from corruption by enforcing foreign key constraints as a form of referential integrity check.

  • Aggregates can be Used to Optimize Performance : When the size of a data warehouse grows, performance optimization becomes more and more critical. Inefficient warehouses will leave customers discouraged when they are forced to wait hours to receive a reply. Optimizing query performance using aggregates is one of the simplest methods.

Career Outlook and Salary :

In order to become a dimensional data modeler, you must work with data analysts and architects to identify key information and dimensions to support the system requirements of the company or client. You must make sure that the data are managed and kept in a valuable state. For interpretation of results, it is crucial to have domain knowledge.

Dimensional data modelers typically begin their careers as analysts, before gaining experience in the lower ranks and moving up the hierarchy. A Dimensional data modeler is assured of a high salary and much scope for learning. Data modelers earn an average salary of 786K on the market, according to Glassdoor, Dimensional Data Modelers also earn a good salary, which is why there are ample monetary and career opportunities.

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Key Features

ACTE offers Dimensional Data Modeling Online Course in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Dimensional Data Modeling Training
Module 1: RDBMS
  • Cardinalities
Module 2: First Normal Form
  • First normal form
  • Second normal form
  • Third normal form
  • Atomicity
  • Consistency
  • Integrity
  • Durability
Module 3: What Is A Data Model
  • What is a data model?
  • Characteristics of data model
  • Entity relation ships
Module 4: 4 Phases Of Modeling
  • 4 Phases of modeling
  • Entity types
  • Conceptual data model
Module 5: Logical Data Model
  • Logical data model
Module 6: Physical Data Model
  • Physical data model
Module 7: Hands on OLTP Data Model Scenarios
  • Hands on OLTP Data Model Scenarios
Module 8: Characteristics Of Data Warehouse
  • Characteristics of data warehouse
  • ER model vs. dimensional modeling
  • Inmon vs. kimball
Module 9: Industry Specific Models
  • Industry specific models
  • Different types
  • Types of OLAP
Module 10: Meta Data Management(MDM)
  • Meta data management(MDM)
  • Business glossary
Module 11: Dimension Tables
  • Dimension Tables
Module 12: Fact Column Types
  • Fact column types
  • Grain
Module 13: Bus architecture
  • Bus architecture
  • Slowly growing dimensions
  • Slowly changing dimensions
Module 14: Outrigger dimension
  • Outrigger dimension
  • Hierarchies
Module 15: Handling M X N RelatiosShip Tables
  • Handling M X N relationship tables
  • Different types of fact tables
Module 16: Drill Across
  • Drill across
  • Drill through
  • cross sell
  • Up sell
  • Summations
  • Aggregates
  • Modeling tools
  • Naming conventions & standards
  • Hands on erwin tool
Module 17: Hands on Dimensional Modeling Scenarios
  • Hands on Dimensional Modeling Scenarios
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Get Hands-on Knowledge about Real-Time Dimensional Data Modeling Projects

Project 1
Retrieval of Data Project

Dimensional modeling merges the tables withinside the version itself, which permits customers to retrieve records quicker through strolling be part of queries.

Project 2
Dimension Tables Project

This Dimension tables Project shops descriptive statistics approximately the enterprise data to assist apprehend and examine the records better.

Project 3
Specialized Data Mart Project

The dimensional version works similarly nicely with generalized company records warehouse schemes or “records marts” targeted on unique departments or consumer groups.

Project 4
Granularity for Business Facts Project

Granularity refers to the extent of statistics this is saved in any table. The truth tables in a dimensional version ought to be steady with the pre-described granularity.

Our Efficient Partner for Placements

ACTE administers placement opportunities to every student / professional who completed our classroom or online training. Most of our scholars are working in these companies listed below.
  • We are associated with top organizations like Futurea4, Amtex Software Systems, Lericon Infomatics Pvt.Ltd, Accenture, Google, CTS, Snaphunt Pte Ltd, IBM, etc. It makes us capable to place our students in top MNCs across the globe.
  • Each session involves practical assignments that must be completed before the next class and aid in the application of the principles presented.
  • This year, our students have traveled to other countries to take on the role of global managers in multinational corporations.
  •  Dimensional Data Modeling Practitioners support students in developing curriculum vitae that are responsive to the changing industry needs.
  • We have a challenging Placement Support Team wing that assists students in obtaining placement that meets their needs.
  • We will schedule Mock Exams and Interviews to accurately predict the Applicant's Communication and skill Gap.

Get Certified By Dimensional Data Modeling & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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Our Highly Capable Dimensional Data Modeling Trainer

  • Our Dimensional Data Modeling Training Tutors have approved specialists with 9+ years of proficiency in their respective domains as well as they are currently serving with Top MNCs.
  • As all trainers are experts in dimensional data modeling and have many live projects, the trainers will use these projects during the training sessions.
  • All of our trainers work with companies such as Futurea4, Amtex Software Systems, Lericon Infomatics Pvt.Ltd, Accenture, Google, CTS, Snaphunt Pte Ltd, HCL Technologies, etc.
  • Trainers also help candidates to find their way around the internal recruiting / recommendation process in their respective companies.
  • Our teachers are industry experts and specialists who have mastered today's applications and train students in the best of dimensional data modeling.
  • We have gained manifold prestigious awards for dimensional data modeling training from recognized IT regulations.

Dimensional Data Modeling Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



I underwent Dimensional Data Modeling training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik


Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Dimensional Data Modeling has around 10+ years of experience in Dimensional Data Modeling and covers all the real time scenario's in the classes



I have enrolled for Dimensional Data Modeling course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose



It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Dimensional Data Modeling . I would recommend ACTE to people who are interested to learn Dimensional Data Modeling .



Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Dimensional Data Modeling Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Dimensional Data Modeling training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Dimensional Data Modeling Course At ACTE?

  • Dimensional Data Modeling Course in ACTE is designed & conducted by Dimensional Data Modeling experts with 10+ years of experience in the Dimensional Data Modeling domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Dimensional Data Modeling batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Dimensional Data Modeling . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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