Raptor combines Hadoop & HBase with machine learning models for adaptive data segmentation, partitioning, bucketing, and filtering to enable ad-hoc queries and real-time analytics.
Raptor has intelligent optimization algorithms that switch query execution between HBase and MapReduce. Raptor can create per-block dynamic bloom filters for adaptive filtering. A policy manager allows optimized indexing and autosharding.
This session will address how Raptor has been used in prototype systems in predictive trading, times-series analytics, smart customer care solutions, and a generalized analytics solution that can be hosted on the cloud.
Soundar Velu
Product Architect
Sungard
Soundar Velu is a product architect with the Advanced Technology team in SunGard Global Services. With extensive experience building enterprise applications and distributed computing products, Soundar’s specialties include building large scale applications and frameworks using Apache-Hadoop and related technologies. He consults on building low-latency applications and Service Oriented Architectures. Soundar is the creator of some of the highly reused products like SOA Accelerator, CORL Engine and Raptor. He holds a Computer Science and Engineering degree with distinction from VTU India and joined SunGard in 2010.