Ensemble Modeling represents a family of modeling forms that share a common purpose and a common modeling paradigm. Ensemble forms address our need for data integration, historization, auditability and modeling agility. Today over 1400 models exist using this technique with the majority leveraging the Data Vault modeling pattern. This session will cover the need, the approach, the underlying premise and the current flavors of Ensemble Modeling. Attendees can expect to understand why organizations should consider Ensemble Modeling for their DWBI program.
Big Data Modeling
Data modeling is generally not a part of our Big Data conversations. The idea of schema-on-read has often been coupled with the idea that modeling is not needed in these deployments. While modeling may be different in the big data world the truth is that it is equally – if not more – important to the organization. This session covers the topic of data modeling in the big data world and will touch on conceptual, logical, and physical modeling considerations. Attendees can expect to learn how and why modeling is a useful and integral part of the organizations big data strategy.
Hans Patrik Hultgren. President at Genesee Academy and a Principal at Top Of Minds AB. Data Warehousing and Business Intelligence educator, author, speaker, and advisor. Hans is currently working on Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on Ensemble Modeling and Data Vault. Primarily in Stockholm, Amsterdam, Denver, Sydney and NYC. Hans published data modeling book “Modeling the Agile Data Warehouse with Data Vault” which is available on Amazon websites in both print and Kindle e-reader versions. Specialties: Information Management and Modeling, Ensemble Modeling, Data Vault Modeling, Agile Data Warehousing, Education, e-Learning, Entrepreneurship and Business Development.