Data Architektur & Design & Management
Seminars
Trainings
Workshops
Roundtables
Data Architektur & Design & Management
What is a data architecture and how can it provide more order and control over data in the company as well as be actively included in business and strategic planning?
Learning objectives
In an open, pleasant atmosphere, you will learn the latest findings and approaches for describing your data architecture and for introducing systematic data architecture management into existing IT structures. Experienced senior experts use numerous practical examples to explain different solution approaches at all levels: Strategic, organizational, technological. You will have the chance to bring your own situation into the discussion as a case study and learn valuable design tools for data governance initiatives.
Format
- 1 day seminar, 09:00 – 17:00 hrs.
- Lectures, discussion and group work
- incl. catering
- incl. materials
Target group
- Specialists and managers in the data-driven environment
- All decision makers, project and program managers who want to professionalize their handling of data
- CIOs, CTOs, CDOs
- Data users, managers, strategists, data owners & data stewards
- Data Manager, Data Engineer, Data Scientist, Business Intelligence Manager
Price
- Seminar: 970,- € per person
- Seminar + Expert Coaching (2 x 1h, as needed) = 1.180,-€
All prices per person plus VAT.
For individual interests or focal points, we will be happy to make you a suitable offer. Please contact us.
You will learn…
- What a data architecture is and what it encompasses.
- Who the users of a data architecture are and who contributes to it?
- How a DA relates to adjacent disciplines such as application architecture, infrastructure architecture, enterprise architecture.
- What are the challenges in defining a DA
Relationship between DA and data modeling - Standards for data architecture design (DAMA, TOGAF, Huffman, etc)
- How a systematic DA management should be organized.
- Roles, responsibilities and rules for a systematic data architecture management
- How data architecture, data governance and IT governance interact.
- What challenges exist in embedding and implementing data architecture management in existing IT organizations and how they can be addressed.
- The role of technologies in data architecture
