SAP Datasphere – All you need to know about Data Modelling

PLEASE NOTE - This is a joint event we are running in conjunction with SAP. By signing up for this event you agree for your name, company and email address to be shared with SAP.

SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data application suite that enables data professionals to deliver seamless and scalable access to mission-critical business data. Benefits of using SAP Datasphere are:

• Access authoritative data: Accelerate your time-to-value by automatically reusing the semantical definitions and associations from SAP applications
• Enrich all data projects: Harmonise heterogeneous data into a business semantic model of your diverse data landscape
• Simplify the data landscape: Access all your data across hybrid and cloud environments no matter where it resides

This webinar series is designed to explain some of the technical aspects of the service and unearth the functionality that enables customers to bring SAP and non-SAP data together in the seamless and self-service way, providing a solution to build a harmonised layer, or business data fabric, across SAP and non-SAP, cloud or on-premise data sources, making the best use organisations existing investments.

The webinar series will include the following:

Webinar 1 - 26/06/23 - All you need to know about Data Modelling

Webinar 2 - 03/07/23 - All you need to know about Data Fibre, BW Bridge and Catalogues

Webinar 3 - 10/07/23 - All you need to know about Partnerships, Roadmap and Implementation

Webinar 1 - All you need to know about Data Modelling

Data modelling is the core component of everything that happens in Datasphere. This session takes you through the two analytical models available in Datasphere which are the Analytical Models and the Analytical Datasets. This session is important as it teaches participants basic modelling in conjunction with SAP, Cloud and Non-SAP data sources.

Learn the fundamentals of cloud data modelling with SAP, the transformations, filters and geo-location features available. This is turn will allows members to product efficient models to satisfy their Analytics requirements.