Martijn Evers, DataMasters Unseen
As a Data/BI/DWH Architect/analist/consultant you are a seasoned data professional. But you are challenged by compliance like GDPR, data security and privacy issues and other governance challenges. On the other side are platform challenges, cloud and the tsunami of data tools. This needs to be managed while typical data problems like data value, data quality and data access needs to be maintained or improved.
We think that these issues should be addressed in an holistic fashion where you understand and influence the organization, the data and the technology in synergy.
In this session we will introduce a more balanced and productive way of doing data architecture. Enter the “Full Scale Data Architect”. As a full scale data architect you connect the dots between data management, governance and compliance on the one side, and tools, platforms on the other side. But for this to happen you need more grip on your data architecture. We will introduce the true power of abstraction and show you how to enable a more effective data strategy using several knowledge frame’s like Damhof’s Data Quadrant’s.
After this session you will be able to identify key data architecture aspects and their inter-dependencies. You are able to evaluate data modeling activities and to effectively manage your overall data production strategy.
Martijn Evers has been architecting, designing and developing complex information systems for almost 20 years using various technologies. The last 10 years mainly in the roles as researcher, trainer/coach, consultant, analyst and architect. His passions lie with data & information modeling and metadata driven system development and design. The last few years he is focused on data modeling as the basis for data platform development and automation. Martijn is also doing data modeling related research and is involved in promoting data architecture & data modeling in Higher Education. Martijn is Chief Information Architect@I-Refact and architect of the I- Refactory a next gen (big) data processing factory.