Our webinar focuses on selected techniques that help us efficiently analyse dependencies in data flows within and among applications and information systems within the company. No matter what technology platforms they are built on. We will explain terms like static and dynamic data lineage, categorisation, hierarchisation and levelling of data objects, vertical and horizontal aggregations of dependency trees, the nearest neighbours method, and metadata augmentation. Finally, we will touch upon the topic of conditional data lineage.
The webinar is led by our senior consultants Šimon Rajčan and Petr Hájek. They will talk to you about static and dynamic data lineage, categorisation, hierarchisation and levelling of data objects, vertical and horizontal aggregations of dependency trees, and more.
In this webinar, you will learn:
- How to unravel complex clusters of data flows across enterprise information systems
- How not to be bothered by impact analyses of complex changes in data-oriented solutions
- How to easily and clearly show users the data’s path from the primary sources to their reports
You may also find the Data Landscape Mapping webinar useful.
Šimon has been working as a data consultant since 2010. He has been working with various technologies, gaining experience with data architecture, data modeling, data quality, and DWH projects. At Profinit, Šimon helps expand metadata and data lineage competence.
Data Management Competency Senior Advisor
Petr is Data Management Competency Senior Advisor with 20+ years of professional experience in Data Management, Data Warehousing and Business Intelligence. He focuses on DWH projects in the financial sector and occasionally teaches at universities.
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