MetaDAMA - Data Management in the Nordics
A podcast by Winfried Adalbert Etzel - DAMA Norway - Mondays
Categories:
63 Episodes
-
3#3 - Data Management as Code (Eng)
Published: 25/09/2023 -
3#2 - Data Scientist Redesigned (Eng)
Published: 4/09/2023 -
3#1 - DAMA EMEA (Eng)
Published: 14/08/2023 -
2#18 - Scientific Data Management (Eng)
Published: 19/06/2023 -
2#19 - Datafication of Public Administration (Nor)
Published: 19/06/2023 -
2#17 - Digital Product Management for the Future of Shipping & Logistics (Eng)
Published: 19/06/2023 -
2#16 - Data Skills for the Future (Eng)
Published: 29/05/2023 -
2#15 - The Business Impact of Data Ethics (Eng)
Published: 8/05/2023 -
2#14 - When ML meets Fashion (Eng)
Published: 17/04/2023 -
2#13 - The Path to MLOps (Eng)
Published: 27/03/2023 -
2#12 -A Quest for Diversity - Women in Data Science (Eng)
Published: 13/03/2023 -
2#11 - Data Governance in a Mesh (Eng)
Published: 20/02/2023 -
2#10 - Knowledge Graph enabled Data Mesh (Eng)
Published: 30/01/2023 -
2#9 - Sustainability & AI in Transportation (Eng)
Published: 9/01/2023 -
Live: 7 data management lessons for 2023 (Eng)
Published: 23/12/2022 -
2#8 - The 6 principles for value creation through data (Eng)
Published: 12/12/2022 -
2#7 - PowerBI Governance (Eng)
Published: 21/11/2022 -
2#6 - Ways of Working - Insight Factory (Nor)
Published: 31/10/2022 -
2#5 - Data Availability (Eng)
Published: 10/10/2022 -
2#4 - Data Lifecycle, Search & Data Catalog (Eng)
Published: 26/09/2022
This is DAMA Norway's podcast to create an arena for sharing experiences within Data Management, showcase competence and level of knowledge in this field in the Nordics, get in touch with professionals, spread the word about Data Management and not least promote the profession Data Management.-----------------------------------Dette er DAMA Norge sin podcast for å skape en arena for deling av erfaringer med Data Management, vise frem kompetanse og kunnskapsnivå innen fagfeltet i Norden, komme i kontakt med fagpersoner, spre ordet om Data Management og ikke minst fremme profesjonen Data Management.