Hybrid Analytics
Overview
This approach de-couple a discrete functional subset of an existing application and enable it for cloud. The functional subset module must be easily packaged and may be replicated many times. Typically the subset is very read intensive with infrequent updates back to a central database. Often the component that is _bursting_has limited or no requirement for data persistence – a stateless object, or where data write-back is to a shared database via APIs.
This is great way to support on-demand scaling of critical high volume consumer activities such as Search, Quoting, Catalogs etc
Use
Pure cloud based analytics Small numbers of expert users Data volumes can be small or large Data Analysis Services Discovery Profiling Exploration Modeling Visualization
Use Cases
- Supplement departmental BI
- Sand-box environments
- Data Innovation
- Company Incubators
- Prototyping
- ‘New’ data exploration
- Fraud & error detection/exploration
- Business case proof points