Training
Data Modelling Training
Introduction
Through Big Data, the importance of data and data quality has been widely accepted. More and more individuals now need to play an active role within the data management function. Understanding the data structures within an organisation is key to successful information and data management. This understanding is reached by modelling the various data structures using the industry standard notations. Data structures have expanded over the years from relational operational databases to dimensional analytical cubes. This course addresses both these areas.
Course Description
The course runs over three days and includes a number of exercises that will help to consolidate the learning in a practical way. The delegate will gain a good understanding of data modelling as well as the ability to apply it. The course also looks at Big Data concepts and how Big Data projects differs from Small Data projects. NoSQL, Hadoop, data lakes, Data Science, and the impact of Big Data on both business and consumers are addressed.
(also available with Sparx Enterprise Architect, contact us for more information)
COURSE OUTLINE
Day 1 (full day)- Introduction to Data Architecture
- Data Modelling Components
- Conceptual Data Modelling
- Logical Data Modelling
- Physical Data Modelling
- Dimensional Data Modelling
- Data Modelling Quality
- Big Data
- Data Science
COURSE INSTRUCTORS
The course instructors have architecture experience both from consulting and corporate view-points and thus are familiar with many real-world challenges.
COURSE OUTCOMES
Delegates completing the course will be able to read a data model of any size and complexity. They will be capable of explaining relational and dimensional as well as logical and physical data models, and of building a conceptual data model for their organization.
WHO SHOULD ATTEND?
This course is aimed at professionals who are moving into the data/information management field or those who are required to capture and understand data models as part of their work.
COURSE LOGISTICS
Courses are available on the public training schedule or on request for groups of five or more candidates.
In-house groups may request EA modelling toolset-specific courses.
COURSE FEE
R 11 377 Excl VAT per delegateWe accept EFT and credit card payments.
COURSE PACK INCLUDES
- The text book, “Data Modelling Made Simple” by Steve Hoberman
- A printed course manual
- Online material including a data modelling tool.
CANCELLATION POLICY
There is a 100% cancellation fee for cancellations made within ten working days of the start of the training event.
The course will be presented using a combination of lectures and case study discussions.
Course Duration:3 Days
Prerequisites:There are no prerequisites.
Equipment:Each delegate must bring his/her own laptop
Brochure:Delegate Feedback
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