
Data Modeling is the ability to represent business knowledge in a documented structure so that data can be stored and utilized for a purpose. A solid foundation of Data Modeling knowledge is essential for understanding how to manage data in the enterprise, as today’s data is more challenging than ever to model, integrate, and use consistently for greater value.
Taught by instructor John O’Brien, this 2-Day live, online course provides a framework for Data Modeling context and teaches essential techniques for practical use. Participants will gain a foundation of Data Modeling and its relationship to Business Modeling in order to apply the proper techniques correctly and with confidence for different Business Analytics scenarios.
Structured Query Language (SQL) originated as a way for users and developers to work with data with the construct of Relational Data Modeling and Relational Database Management Systems. SQL is as necessary and relevant today as it has been in years past.
SQL literacy is a core competency to work effectively in the automated business world for data-centric decision-making. Exercising the fundamentals of Data Markup, Definition, and Control Language will empower people to work with local and enterprise data sets and understand the business environment. Performing data discovery and exploration will lead to reporting and analysis that can answer a business hypothesis or question to make decisions based on data.
This course teaches the comprehensive essentials for business and IT professionals to begin exploring and working with data effectively and provides the foundation and capabilities to tackle curiosity-driven advanced situations.
Two-Day Seminar Price:
Last day to register: Monday, April 24, 2023
Seminar CEUs: 12
Seminar Date: Tuesday – Wednesday, April 25 – 26, 2023
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
In this training, attendees will learn the foundations, techniques, processes, and practices for:
Who Should Attend?
This two-day live online seminar is intended for business and IT professionals at all levels who have been tasked with understanding and implementing these types of technologies for themselves and/or on behalf of their organization. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data scientists, BI professionals, and technical staff. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.
Seminar Format
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