At a past client, in order to meet timelines to fulfill urgent, unmet reporting needs, we found it necessary to build a virtualized Operational Data Store (ODS) as the first phase of a new Data Vault 2.0 project. This allowed us to deliver new objects, quickly and incrementally to the report developer so we could quickly show the business users their data. In order to limit the need for refactoring in later stages of the data warehouse development, we chose to build this virtualization layer on top of a Type 2 persistent staging layer. All of this was done using Oracle SQL Developer Data Modeler (SDDM) against (gasp!) a MS SQL Server Database. In this talk I will show you the architecture for this approach, the rationale, and then some of the tricks I used in SDDM to build all the stage tables and views very quickly. In the end you will see actual SQL code for the virtual ODS that you can leverage for your own projects.
In this session, presented by Presented by Amit Manghani, we will explore how advanced visualization tools are being utilized in the era of big data to draw valuable business insights and we will also delve into some of the predominant data visualization tools being used by Data Scientists.