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In-Memory Modeling and Analytics as-a Service in Cloud

Prabal Mahanta and Dhwanit Shah
SAP Labs India Pvt. Ltd., Bangalore, India
Abstract—The aim is to conceptualize and create a platform for building complex data models and executing huge data processing tasks in a more efficient manner. We try to conceptualize a solution which caters to cloud infrastructure and memory-resident storage platform by providing a virtualized environment to end-users for carrying analytics on large scale without investing huge cost from infrastructure setup and maintenance point of view. The solution will support an analyst to replicate data and compute-intensive job running on his/her personal machine, to run on cloud with minimal effort and providing scope for future scale-out. There are several applications which are intensive in terms of data storage and computation cycles. For such applications hardware infrastructure and maintenance costs considerably increase with the increase in data volumes. These applications will vastly benefit with large scale in-memory database management system in cloud where the computations can be done with minimal effort. The idea is to enable provisioning for end users to custom build the skeleton of their data models for data manipulation and then export them using analytics service on the cloud. The ability of the system to expose results of computation in various data format will enable different unique insights to the data. The platform will enable users to harness the power of cloud and in-memory database to solve complex real-time problem with minimal effort and reduced cost.

Index Terms—In-Memory Database, In-Memory Compute Engine, Cloud Service, R, Amazon EC2, SAP HANA, Analytics

Cite: Prabal Mahanta and Dhwanit Shah, "In-Memory Modeling and Analytics as-a Service in Cloud," Journal of Industrial and Intelligent Information, Vol. 1, No. 4, pp. 211-217, December 2013. doi: 10.12720/jiii.1.4.211-217
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