CDMP Exam Cram”
Best Practices Approach to Developing a Competency in Data Modeling
Lloyd Robinson Data Modeling Workshops are recognized as the most comprehensive in the industry.
Certification is your path to joining others to further develop our profession We help you set yourself apart from the competition by holding an industry recognised certification which strengthens your skill set. We support your professional growth and your achievement of your goals, both personal and professional. It is targeted at anyone who wishes to pass their CDMP examinations at the Associate, Practitioner or Master’s level seminar covers the eleven knowledge areas of DMBOK version 2. Includes summaries of each chapter, sample questions, hints and tips on passing the exams. The CDMP cram session runs as a 2-day intensive study session. At the end of the second day you can undertake the 90-minute CDMP exam.
Data modeling is about understanding the data used within our operational and analytics processes, documenting this knowledge in a precise form called the “data model”, and then validating this knowledge through communications with both business and IT stakeholders. Underlying all successful applications is a robust and precise data model, and similarly, most software development failures are due to a lack of understanding of the data or data requirements.
A data model is, therefore, an essential part of applications development including forward engineering, reverse engineering, and integration efforts. Forward engineering means focusing on business requirements, whereas reverse engineering means modeling existing systems to drive the support, replacement, or customization of applications. Integration projects such as business intelligence efforts, data lakes, and master data initiatives, require a consistent holistic view of concepts such as Customer, Account, and Product.
Data Modeling Fundamentals contains two days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.
Top 4 Objectives:
Assuming no prior knowledge of data modeling, we work on our first case study to illustrate four important gaps filled by data models. Next, we explore data modeling concepts and terminology, and with a set of questions. We quickly and precisely build a data model, explaining each component and gain practice reading business rules. We will complete several exercises, including creating a data model based upon an existing set of data.
You will be able to answer the following questions:
You will also learn these concepts, terms and skills:
The conceptual data model captures a business need within a well-defined scope, the logical data model captures the business solution, and the physical data model captures the technical solution. Relational, dimensional, and NoSQL techniques will be described at each of these three levels.
We will also practice building several data models, and you will be able to answer the following questions:
You will also learn these concepts, terms and skills:
Lloyd Robinson is an authority on the practical development of data management implementation, having been certified as a business intelligence professional at the Master’s level by TDWI. Previously, Lloyd held roles with direct responsibility of budgets up to ₤50 million, executing projects across financial services, utilities, education and government across four continents.
Lloyd brings over 20 years of experience in strategic, architecture and line management and is also experienced in delivering talks at key international conferences. Lloyd has comprehensive training in Benefits Management, ITIL, Enterprise Architecture, Program Management, Training and Counselling and demonstrates the exceptional qualities of diligence and patience in shaping a solution.
Workshop Times
Lunch and refreshments are provided.
What should I bring?
Parking
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