Data Modeling Training
Tekslate’s Data Modeling training will make you expert in SQL Developer Data Modeler. It is used to create models for a simplified library database, which will include entities for books, patrons, and transactions.
Instructor-Led Live Online Training
- Hands On Experience
- Certified & Industry Experts Trainers
- Free Demo
- Customize Course Curriculum
- Schedule: 14 Apr 2018 - 13 May 2018
- Schedule: 16 Apr 2018 - 15 May 2018
- Schedule: 21 Apr 2018 - 20 May 2018
- Contact Us for Flexible Timings
Self-Paced Learning
- Learning through Videos
- Watch Anywhere, Anytime
- Videos done by Experts
- Lifetime Access
- Cost Effective
- Suited For All Types of Learners
- 24*7 Support
Course Details
Data Modeling Overview
A well designed data model is the pillar to data warehouse applications and building business intelligence that combines significant business value. Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. Managing the large quantities of structured and unstructured data is a primary function of information systems. Data Models describe structured data for storage in data management systems such as relational data bases.
Course | Data Modeling Training |
Mode of Training | Instructor Led Live Online Training |
Duration | 30 hours |
Timings | Flexible (Our Rep will work with you on the timings that suits your needs) |
Course Material | Our Expert Trainer will share you all the necessary course material, ppts, videos and pdfs |
Examples | Trainer will cover Real time scenarios during the training |
Interview Questions | Click here to see the Interview Questions |
Certification | Click here to know about the Data Modeling Certification |
Salary Trends | Check here to see the salary trends here. |
In data modeling training, you will get hands-on practice modeling requirements through entity relationship diagrams, supertypes and subtypes, and attributive and associative entities. You will also learn to use logical data modeling to work directly with business users to accurately define requirements.
Here are the Data Modeling Training Course Objectives:
Any one can attend this Training. Students/Freshers who is having enthusiasm in learning Data Modeling can attend this Training.
Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These Data Modeling Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace. On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process.
Classes are conducted by Certified Data Modeling Working Professionals with 100 % Quality Assurance. With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on Data Modeling. Our training make you more productive with your Data Modeling Training Online. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects. What we promise at TekSlate: 1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability. 2) We offer free online Data Modeling Training demo session, students can attend the demo session, asses the trainer and then join the course. 3) We offer excellent Online Data Modeling tools course material and also share project scenarios which are similar to what you work when you go to the corporate environment. 4) We share videos of each Data Modeling Courses so that you can review them later as well. The videos developed by experts make it more easier for the learning professionals.
Data Modeling Online Training Curriculum
Data Warehouse Basics
Learning Objects: In this module we will learn about basic Concepts of data warehouse and why it is needed. Difference between operating system and analytical system.
Topics include: An introduction to Data Warehousing, purpose of Data warehouse, Data Warehouse Architecture, Operational Data store, OLTP vs Warehouse Applications, Data marts, Datamarts vs Data warehouses, Data warehouse life cycle.
Data modeling
Learning Objects: In this module we will learn Data modeling basics, it is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. It is a first step in doing object-oriented programming. In this module, you will also learn different phases and Data Modeling definition.
Topics include: Introduction of Data Modeling, Different Phases of Data Modeling, Data Modeling Concepts and data modeling in qlikview.
Architecture of Data Warehouse
Learning Objects: Understanding the Data Warehousing Architecture, system used for Reporting and Business Intelligence, understanding OLAP vs. OLTP, introduction to Cubes.
Topics include: Data Warehouse Architecture, Business Intelligence, OLAP vs OLTP and Cubes.
Multi dimensional Modeling
Learning Objects: Learn Data Modelling, what a dimension and a fact is, the different types of dimensions and facts, Reporting concept of Hierarchy.
Topics include: What is a Dimension in Data Modeling, What are Facts, Multi dimensional model hierarchies, Data Modeling OLAP, Data Modeling- MOLAP, Data Modeling- ROLAP, Data Modeling- HOLAP, cubes and its functions, star schema, fact table, Dimensional tables, Snow Flake Schema, fact less Fact table, Confirmed Dimensions.
Data Modeling Tools
Learning Objects: This module gives you an breif description about the different types of Engineering and Concepts of Alter data base.
Topics include: Introduction to Erwin, Forward Engineering, Reverse Engineering, update model, Alter data base Complete Compare.
SQL parsing cubes & OLAP
Learning Objects: SQL parsing, compilation and optimization, understanding types and scope of cubes, Data Warehousing Vs. Cubes, limitations of Cubes and evolution of in-memory analytics.
Topics include: SQL parsing, Data warehousing Vs cubes, limitations of cubes and evolution of in-memory analytics.
Faq's
Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants.
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Secondary index dimensional data modeling training. Tekslate also 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.
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Tekslate even after completion of Dimensional data model training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.
You will work on real world Data modeling Online Courses wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, e-commerce, marketing, sales, high technology and so on.
Our Trainers will provide the Environment/Server Access to the and we ensure practical real-time experience in data modeler Online 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 Data Modeling Training Online Course 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 on the Certification Cost if the participants are more than 2.
As we are one of the leading providers of Online training, We have customers from: Online Data Modeling Training in USA: Popular cities of Canada, like: Online Data Modeling Training in India: Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world
What is Data Modeling? This is the process of structuring and organizing data. These data structures are then typically implemented in a database management system. In addition to defining and organizing the data, data modeling may also impose constraints or limitations on the data placed within the structure. Managing large quantities of structured and unstructured data is a primary function of information systems. Data models describe structured data for storage in data management systems such as relational databases. They typically do not describe unstructured data, such as word processing documents, email messages, pictures, digital audio, and video. Early phases of many software development projects emphasize the design of a conceptual data model. Such a design can be detailed into a logical data model. In later stages, this model may be translated into physical data model. Data Model The term data model actually refers to two very different things: a description of data structure and the way data are organized using, for example, a database management system. Data Structure A data model describes the structure of the data within a given domain and, by implication, the underlying structure of that domain itself. This means that a data model in fact specifies a dedicated ‘grammar’ for a dedicated artificial language for that domain. Because there is little standardisation of data models, every data model is different. This means that data that is structured according to one data model is difficult to integrate with data that is structured according to another data model. A data model may represent classes of entities (kinds of things) about which a company wishes to hold information, the attributes of that information, and relationships among those entities and (often implicit) relationships among those attributes. The model describes the organization of the data to some extent irrespective of how data might be represented in a computer system. The entities represented by a data model can be the tangible entities, but models that include such concrete entity classes tend to change over time. Robust data models often identify abstractions of such entities. For example, a data model might include an entity class called “Person”, representing all the people who interact with an organization. Such an abstract entity class is typically more appropriate than ones called “Vendor” or “Employee”, which identify specific roles played by those people. A proper conceptual data model describes the semantics of a subject area. It is a collection of assertions about the nature of the information that is used by one or more organizations. Proper entity classes are named with natural language words instead of technical jargon. Likewise, properly named relationships form concrete assertions about the subject area. For example, a relationship called “is composed of” that is defined to operate on entity classes “Order” and “Line item” forms the following concrete assertion definition: Each “Order” “is composed of” one or more “Line items.” Note that this illustrates that often generic terms, such as “is composed of”, are defined to be limited in their use for a relationship between specific kinds of things, such as an order and an order line. This constraint is eliminated in the generic data modeling methodologies. Generic data modeling has the following characteristics: This way of modeling allows to add standard classes and standard relation types as data (instances), which makes the data model flexible and prevents data model changes when the scope of the application changes. A generic data model obeys to the following rules: Another kind of data model describes how to organize data using a database management system or other data management technology. It describes, for example, relational tables and columns or object-oriented classes and attributes. Such a data model is sometimes referred to as the physical data model, but in the original ANSI three schema architecture, it is called “logical”. In that architecture, the physical model describes the storage media (cylinders, tracks, and tablespaces). Ideally, this model is derived from the more conceptual data model described above. It may differ, however, to account for constraints like processing capacity and usage patterns. While data analysis is a common term for data modeling, the activity actually has more in common with the ideas and methods of synthesis (inferring general concepts from particular instances) than it does with analysis (identifying component concepts from more general ones). Data modeling strives to bring the data structures of interest together into a cohesive, inseparable, whole by eliminating unnecessary data redundancies and by relating data structures with relationships. Benefits to our Global LearnersGeneric Data Modeling
Data organization
Data Modeling Certification
Visible Systems Corporation provides certification in Data Modeling which is known as CBDM (Certified Business Data Modeler). You can find the full details here. For the data modeler, the CDMP (Certified Data Management Professional) is a designation identifying they have demonstrated a standard level of knowledge and experience within Data Management and specifically DataModeling.
The CDMP is offered through DAMA International, Click here to register and the ICCP Click here to register. The learning path and the project Tekslate comes up with will be exactly in line with the certification program which enables you to clear Data Modeling certification exams with greater ease and secure a job in top multinationals.