Advanced In-Database Analytics with GPUs
In this talk, you will see how GPU-accelerated computing gives you the ability to complete an aggregate query against a table with 4 billion records in 250ms or less. Complex aggregates that require table scans can now be performed in a fraction of the time.
Data analytics has changed dramatically over the last decade. We started with traditional RDBMS and distributed storage, and moved to advances in in-memory analytics with NoSQL. Today, GPUs are powering the next generation of data analytics and compute, bringing high-performance computing and real-time analytics to industry-standard hardware and enabling new enterprise solutions.
Karthik is a Principal Solutions Architect at Kinetica. With over 18 years of software experience in a variety of roles and responsibilities, Karthik takes a holistic view at software architecture with special emphasis on helping enterprise IT organizations improve their service availability, application performance and scale.
Karthik has successfully helped recruit, build enterprise teams; architect, design and implement business and technical solutions with numerous customers in various business verticals.
Prior to Kinetica, Karthik led the pre-sales Big Data organization at Terracotta SoftwareAG. Karthik has a Bachelor's degree in Electronics and Communication from The National Institute of Engineering in India.