Tekslate provides the best Data Modeling training by a certified IT professional who is an expert and currently working in the same field. It will enable you to gain in-depth knowledge of the concepts of Data warehousing architecture, Data Modeling, Data integration, cubes, Erwin, etc. You will also get an opportunity to work on two real-time Data Modeling projects during training which will help in clearing the Data Modelling Certification Exam.
Our course objectives include:
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.
Introducing Data Warehouse and Business Intelligence
Understanding the difference between database and data warehouse
Working with ETL tools, SQL parsing.
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.
Currently, there is no official certification exam available for Data Modeling.
Tekslate helps you with proper guidance, required training material, interview questions, and make you work on projects and assignments which deal with major applications of Cloud Foundry in real-time industries.
It also offers a course completion certificate of Data Modeling after completion of training based on the candidate’s performance in the project implementation.