Am Mittwoch, den 14.11.2018 von 18:30 Uhr bis 20:30 Uhr
Metafinanz GmbH (http://www.metafinanz.de)
Wir freuen uns, Data-Vault-Trainer Remco Broekmans von der Genesee Academy begrüßen zu dürfen (https://www.trivadis.com/de/node/4108). Er wird uns etwas über “The Ensemble Logical Model and the path to get there” erzählen. Wir gehören damit zu den ersten, die Material aus den neuen, erst im Oktober vorgestellten Schulungen zu sehen bekommen.
Die Präsentation wird auf Englisch sein, spezielle Vorkenntnisse sind aber nicht erforderlich. Vor und nach der Präsentation bleibt genug Zeit für Diskussionen und Austausch. Für das leibliche Wohl ist natürlich gesorgt.
Vielen Dank an Metafinanz für die Bereitstellung von Raum, Pizza und Getränken.
Präsentation:
Ensemble modeling is quickly becoming the standard approach for modeling the data warehouse. It’s a unique data modeling technique that uses Core Business Concepts and Natural Business Relations to build the framework of the Data Warehouses. Data Vault is by far the leading modeling pattern within the Ensemble modelling family (which also includes Focal Point & Anchor & others). All members of the family are based upon the paradigm:
“Separate things that change from those that do not change”.
How to gather the information requirements and translate these into an Ensemble Logical Model fit for your Data Warehouse model? This has always been a hard task done by specialist in between the business and IT. This specialist has always been an intermediate role with all the challenges of translating the requirements in such a way that this is understood by the modeler and the developer as well as the business. With Agile techniques as the new way of working we need to find other ways to model our Data Warehouse. In the ideal world this is a group effort we perform in so called model storming sessions.
This session will not only teach you what an Ensemble Logical Model is and why it is good for use as pattern for the data warehouse but will also give you a sneak preview on how to run the ELM Workshop. As we believe in learning, this will be an interactive session.
Anmeldung
(bitte bis spätestens 13.11.2018)