Case Study
Montag, 04. März
18:30 - 19:00
Weniger Details
ITSV manages 500 billions of data records in relational databases for Austrian social securities, which gives them a powerful dataset. Apart from having to encrypt and pseudonymizise the data, they struggled with the biggest challenge of data warehouses world wide at the moment: How to use AI methods to check the normality of their data. But keeping up with over 9000 rules in their model proved a challenge. Hear in this presentation, how throwing out the rules improved the success of their approach massively.
Mr. Vojkan Radak is an experienced DWH product manager with over 30 years of IT experience. He has extensive knowledge and expertise in the implementation of more than 40 DWH projects on various database platforms such as Teradata, Netezza, MS SQL Server, DB2, Oracle and others.
The Pop in My Job:
Daily learning, trying out the new possibilities, constant correctness checks, AI-assisted quality checks, navigate me and the companies I work for through the fascinating world of data - biiiiig amount of data.