Hi there! I'm working as an architect for a german company and we are evaluating the kylin system for extreme scale OLAP scenarios. Currently we got our hands around the system that we basically understand the usage of it. But now it is going further into a multitenant use.
Let me describe the core issue first: We are an individual software vendor and our software currently resides on the PCs of our customers. We are planning to migrate these software products into our own already existing data center. Our portfolio with nearly 300 applications address various business domains. One main asset is the ability to drive analytical processes over the data from all of these applications - and this for example based on OLAP Analytics. Right now we have more than 40.000 installation sites with a relational database store. If we migrate this data to our data center we are definitely facing Big Data solutions. Kylin apparently fits our need. But - and this is mission critical - each customer needs a dedicated access to these analytical systems and may use BI Tools like Tableau and such. We will provide the access to the Kylin system and cope with the needed authentication. If now the complete data relevant for BI analyitcs reside in the data cluster for kylin the data shall only be used by its dedicated responsible customer - each customer must not see in that way data from other customers. In facts: Minmal 40.000 customers with in future 4000 parallel accesses. Our first investigation provides the information, that we have to provide a dedicated cube for each tenant. Is that correct? This means we need to define for each interested customer a cube based on the residing data. Will this cube definition be enough to seperate each tenant from other's data? Will the system provide enough power to yield that many cube definitions? Thanks upfront Victor Sauermann
