5. - 6. februar i Oslo 2-dagers seminar: Practical Guidelines for Designing Modern Data Architectures

Practical tips, experiences, guidelines, do’s and don’ts.

Faggruppen BI & Analytics

arrangeres av Faggruppen BI & Analytics

Medlempris: 5000.00 Ordinær pris: 6900.00 Meld på

Digital transformation, the data-driven organization, and the ‘data economy’ are popular topics in boardrooms today, because organizations understand the need to do more with data. They want to make use of the strengths and benefits of data science, self-service BI, embedded BI, edge analytics, and customer-driven BI. The consequence is that data needs to be deployed more widely, more efficiently, and more effectively. Unfortunately, current IT systems, such as the data warehouse and transactional systems, can no longer cope with the ever-increasing workload. They have already been overstretched. For many organizations it’s time for a new and future-proof data architecture.

But designing new data architectures is not something you do every day. This two-day seminar answers through guidelines, tips, and design rules many common questions raised when designing a modern data architecture. Concepts and technologies, such as data lakes, big data, datavault, cloud, data virtualization, Hadoop, NoSQL , and data warehouse automation, are explained. The seminar is based on practical experiences while designing and implementing modern data architectures for numerous organizations.


Early early bird (gjelder t.o.m. 05/12): kr. 5 000,-
Early bird (06/12 – 15/01): kr. 5 500,-
Ordinær pris f.o.m. 16/01: kr. 6 000,-

Early early bird (gjelder t.o.m. 05/12): kr. 6 900,-
Early bird (06/12 – 15/01): kr. 7 400,-
Ordinær pris f.o.m. 16/01: kr. 7 900,-


Rick van der Lans Seminaret holdes på engelsk

Main Topics

Part 1: Introduction: what is a data architecture?

Part 2: Overview of new technologies for data storage, data processing, and data analytics

Part 3: Modernizing existing data-architectures

Part 4: Innovating new data architectures

Part 5: The periphery of a data architecture

Part 6: Requirements for a complete and correct data architecture