Paper Title: Empowering Real-Time Decision Making for Large-Scale Datasets w SSD like Econ

Paper Abstract: Business competitiveness is dictated by the speed of data access, actionable dataset size, and the timeliness and quality of decision-making. While robust in-memory solutions offer robust performance, scaling for large data sets can be very expensive. Recent architectural innovation using a new class of data processor along with Redis on Flash provides superior performance benefits and also to store significantly more data with fewer resources, enabling organizations to reduce cost while getting more from their existing infrastructure investment. In this session, we demonstrate how Redis with SSDs accelerated by a new class of data processer can support 10x more data with throughput and latency close to DRAM-based Redis.

Paper Author: Prasad Venkatachar, Solutions Director, Pliops

Author Bio: Prasad Venkatachar is an experienced database and analytics professional with 20 years of combined experience in Product Management/Marketing & Solution Architecture. In these 20 years of progressive experience served several fortune 500 enterprise customers to deliver business value outcomes through multi-database & big Data Solutions on both Cloud & data center environments. Prasad leads solution & tech marketing at Pliops. Before Joining Pliops, he worked at Lenovo, Hewlett Packard Enterprise, SanDisk, and i2 Technologies. He holds several cloud (Azure, AWS & GCP) and Database (Oracle, Microsoft, IBM) certifications.