Providing both performance and flexibility are often seen as contradictory goals in designing large scale data implementations. In this talk we will discuss techniques for denormalisation and provide a framework for understanding the performance and flexibility implications of various design options. We will examine a variety of logical and physical design approaches and evaluate the trade offs between them. Specific recommendations are made for guiding the translation from a normalised logical data model to an engineered-for-performance physical data model. The role of dimensional modeling and various physical design approaches are discussed in detail. Best practices in the use of surrogate keys is also discussed. The focus is on understanding the benefit (or not) of various denormalisation approaches commonly taken in analytic database designs.

Early bird pricing is available until 2 weeks prior.

This is an AlphaZetta public course – group discounts are available during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.

Course Booking Terms and Conditions

Additional Information

Audience Experts, management, architects, BI analysts, and data scientists interested in learning to use advanced analytic techniques to find insights in data and who has at least some scripting experience, although there’s no scripting involved.
Prerequisites Students should have completed or have equivalent knowledge to the course Data Literacy for Everyone.
Objectives
  • Learn how to apply engineering principles to physical database design decisions.
  • Learn about the trade offs when making denormalisation decisions.
  • Learn best practices in the use of logical, physical, and semantic data modeling principles.
Workshop
Duration 3hrs – 1 day, depending on your organisation’s requirements
Trainer Stephen Brobst
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.
If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Scheduled Public Courses

Private and Corporate Training

In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

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