Data Modeling Training

• Understanding the Data Warehousing Architecture

• The system used for Reporting and Business Intelligence

• Understanding OLAP vs. OLTP

• Introduction to Cubes.

• The various stages from the Conceptual Model

• Logical Model to Physical Schema

• Understanding the Cubes, benefits of Cube, working with OLAP multidimensional Cube, creating Report using a Cube.

• Understanding the process of Data Normalization

• Rules of normalization for first, second and third normal, BCNF, deploying Erwin for generating SQL scripts.

• The main components of Business Intelligence – Dimensions and Fact Tables

• Understanding the difference between Fact Tables & Dimensions

• Understanding Slowly Changing Dimensions in Data Warehousing.

• SQL parsing, compilation and optimization

• understanding the types and scope of cubes

• Data Warehousing Vs. Cubes

• Limitations of Cubes and evolution of in-memory analytics.

• Learning the Erwin model

• Understanding the Design Layer Architecture

• Data warehouse modeling

• Creating and designing user-defined domains

• Managing naming and data type standards.

• Understanding of the forward and reverse engineering, the comparison between the two.

Our course objectives include:

• Get an overview of Data warehousing architecture,  BI life cycle, and Data Modeling concepts.

• Working with star and snowflake schema.

• Understanding Relational database objects, Distributing databases, and Referential integrity.

• Working with SQL data, SQL Modeler, and SQL Parsing.

• Overview of Erwin database and the concepts of RDBMS.

• Working on the concepts of Erwin forward and reverse engineering

• Domains and integrity rules, subtypes, and supertypes.

• Learn to create and use data models.

• Due to the high demand for Data Modeling, there are numerous job opportunities available around the world.

• Many top multinational companies are recruiting Certified Data Modeling professionals.

• Skilled Data Modeling professionals are earning high salaries compared to professionals working on other technologies.

• The average salary of a certified Data Modeling professional is $93,809 USD per annum.

The following job roles will get benefited from learning this course:

• Database Administrators

• Database Modelers

• Analytics Managers

• ETL and BI Developers

• Data Scientists and Analysts

• Aspirant looking for a career in data warehousing.

There are no specific prerequisites for learning this course. Anyone who is interested in learning this course can join this training.

We will provide two real-time projects under the guidance of a professional trainer, who will explain to you how to acquire in-depth knowledge on all the concepts involved in these projects.

• Our trainers are well experienced professionals and certified in working with front-end development technologies.

• We will record all the Live sessions you go through, and we will send the recording of the class you missed.

• For practical execution, our trainer will provide server access to the student. 

• All our training classes are live. This is to solve all the student queries directly with the trainer.

• Live online training means, our trainer will be in online with you to solve your issues.
• Pre-recorded training means, there will be no trainer available to solve your issues.

• You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

• Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.

• To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

• Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.