Analytics can play an important role in increasing the competitiveness and efficiency of an organization. While the need of integrating analytics in an organization's IT ecosystem is clear, the complexity of implementation remains high. Sclera aims to eliminate this complexity.
Sclera's flagship offering is an innovative development environment that abstracts away the underlying infrastructure as well as the tedious aspects of data processing, so that the developers can focus on the analytics tasks at hand.
Sclera supports familiar SQL extended with deep analytics capabilities. Recommendation engines, stock ticker analytics, customer behavior analysis, retail analytics, and much more can be developed in just a few lines of code.
Sclera decouples analytics development from the underlying infrastructure. The infrastructure can evolve incrementally, as needed, without affecting the application logic.
For organizations evaluating the need for analytics, virtualization eliminates the effort and upfront investment required in evaluating ideas, verifying the ROI and "making the case".
For organizations who have already made investments in analytics systems (e.g. Hadoop/HBase), virtualization makes these systems accessible to SQL-savvy analysts and also enables easier interoperability with the SQL-based data warehouses and the existing BI ecosystem.
Prasan founded Sclera after more than a decade of experience in database management and analytics.
Till 2011, Prasan was a senior research scientist and research manager at IBM Research. Before IBM, he was with Aster Data Systems (now Teradata-Aster) where he was responsible for the overall architecture and development of Aster nCluster's parallel query optimization/planning component, as well as several innovative analytics operators. Earlier, he held faculty/research positions at IIT-Bombay, IBM Research (2003-2007) and Bell Labs.
Prasan holds a B.Tech. from IIT-Delhi and an M.Tech. and a Ph.D. from IIT-Bombay, all in computer science.