Information Architecture Techniques and Deliverables
Duration 4 days
The course is designed for data and information architects, senior business analysts, enterprise architects, strategists and business architects who are, or who will become, actively involved in modeling, analysing and shaping the future of information and data used in businesses. It is a skills course rather than a methodology course, designed to expose participants to leading techniques and ways of presenting models and results of analyses. It draws on our 25+ years experience in business and academia as well as industry best practice to deliver a valuable set of tools to equip data and information architects.
What Differentiates this Course?
Various courses cover aspects of data modeling (e.g normalisation, relational database design) or Structured Query Language, or physical database design for a specific product. There are very few that address the broad requirements of data and information architecture as they apply in the business and as part of an enterprise architecture discipline: Moving from the conceptual level, through industry and bespoke domain modeling using entity and object oriented concepts, the course covers the vital levels of data modeling and management required to fully understand data and information at an enterprise level. It also discusses existing and emerging technologies to help the organization leverage data to strategic advantage, from high volume transaction processing, to data mining, from structured internal data to fuzzy external knowledge, from secure private data to the cloud and distributed mobile applications. It further provides an introduction to the emerging fields of large data, no-SQL technologies and the use of semantic technologies in business.
Typical candidates would include data and information architects, data managers, enterprise architects, senior business analysts, strategists, database administrators and security and privacy specialists responsible for data related aspects. Those concerned with public data (e.g. the websites, portals, web services and applications exposed outside your traditional user base will also benefit.
The course provides a set of techniques which assist the information architect in understanding the context, the challenges, the opportunities, the risks and the strategic options of an enterprise’s use and exploitation of data and fashioning a coherent architecture and plan to realise the organisation’s vision with respect to data, information and knowledge.
Rich use of examples and selected short videos stimulate delegates to think beyond the norm and out of the box. We will tap delegates into sources of information for ongoing enrichment as well.
Case study work in small teams allows delegates to perform analysis and devise architectures and strategies. Teams compete and learn from each other before experiencing another facet of the challenge.
The course stresses holistic consideration and the interplay of many facets that affect the outcome of architecture decisions.
Course content includes (subject to change) detailed coverage of data, information and knowledge architecture, including:
- Conceptual / Domain modeling
- Logical Data Modeling
- Class & Entity Modeling
- Industry Reference Models/Frameworks
- Relational Modeling
- Semantic Modeling and introduction to semantic technologies
- Business Intelligence
- Meta Data
- Data Management
- Information Security and Privacy
- Big Data
- Evolving Data Technologies
- Visualization (e.g. Data Driven Documents (D3))
Delegates will be provided with high quality notes and links to media and references to pursue further investigation.
Location, Costs and Dates
This course is offered in the UK, Germany and South Africa. It may be extended to other locations in future. Please see schedule for dates, locations and price in local currency.