Product Information
What is SAP Data Warehouse Cloud Webcast Recap
This was an SAP webcast. Replay can be found here
Source: SAP
Short introduction
Source: SAP
Product is not available today
Announced at SAPPHIRENOW last month
Might change until product goes GA – planned around SAP TechEd time later this year
Source: SAP
A cloud native in memory warehouse managed by SAP
Software as a service, managed by SAP
Targeted to be a unified data platform – for business users and IT
Extend on-premise systems into the cloud
Implement cloud native use cases
Source: SAP
Typical data warehouse, different tasks need to be done – load data, model data, design reports, exchange or add new data sources, transformations
Typically the business user can only do so much today
Move the bar further to the right to allow business user to get the job done, analytics to provide to management and stakeholders
A place for IT – depends on use case
Divide and conquer between IT and business user
Source: SAP
Illustrate unified data platform
Designed for business, IT has a spot
Designed for outside in; start at outside, different line of business work on their own dataset, building their own datasets
Illustrated in Interaction circle
Interact with third party data
Data warehouse cloud comes in move into the circle – design, model and work on a data mart perspective; without need to move data
Connect flexibly to systems in current landscape; ‘nice to integrate’ in existing landscape, connect to remote systems, provide ability for LoB users to design business entities to build a semantic model
Done in a virtual environment; not move data
Provide ability for planning prediction
Add data warehouse services to environment; move to a persisted data mart – move from outer ring to inner circle
Time dependency, historical truth, aware from BW solutions
Semantic layer remain stable and exensible
Source: SAP
“provide faster time to value”
Virtualized environment with business semantic model
Mapped to data access layer
Once persist data, move data to data warehouse cloud, semantic layer remains stable, no change to stories
Map from semantic object to persisted layer
Line of business can model
Open – provide graphical modeling capability; also open for SQL scripters, to re-run SQL
Also provide API – use 3rd party tools
Provide content to integrate with SAP/nonSAP environments – free data models to provide a data foundation
Simple – data warehouse cloud comes preconfigured in a browser environment, managed for you by SAP
Flexible – integrate into existing landscapes
Elasticity – no need to have systems up and running – can decouple types of data – “spaces” – one or multiple spaces – can be assigned in memory and connect to data lake spaces (IQ in the cloud) and connect to Hadoop spaces. Can hibernate to reduce costs, spin up additional nodes
Secure – provide role based security, encryption (GDPR) built in solution, out of the box
Source: SAP
Join the beta program in July
What do you think?