How To Develop & Operate An Agile Cloud Datawarehouse In A Rapidly Changing Multi-ERP Environment
summary
Fortum R&W builds a cloud “data Bazaar” on Snowflake (AWS → Azure) with Agile Data Engine auto-generating DDL, ETL workflows and CI/CD so two engineers push business logic instead of deployment scripts. Master data management via Semaki and Qlik Sense reports give trusted figures after a rocky start. The team records about 2,700 model changes in a year with a peak of 30 production deploys in a month (≈3/day), and ADE’s metadata-driven orchestration materially cuts manual ops.
AI-written summary · about
chapters (8)
- 0:00Introduction and agenda
- 1:25Company purpose and operations
- 6:07ERP challenges in multi-ERP environment
- 9:13Agile data warehouse development
- 15:25Importance of business ownership
- 19:16Traditional data warehouse limits
- 21:02Agile Data Engine benefits
- 25:44Additional key topics
related talks
43mData warehousing reinvented for today's needs
30mA Devops Approach to Data: A Tale Through the Trenches in Search of a Cloud Data Revolution
34mTales of Data Architecture Evolution
27mAgile Data Platforms : Innovate at the speed of thought
58mTales of Data Architecture Evolution
23mData Team as an Optimisation Problem
44mAgile Data Warehousing/Business Intelligence: Addressing the Hard Problems
15mBeyond the Silo: Modernizing SAP with Snowflake on AWS for AI