Using Denodo MPP with Presto to Create Cost and Speed Efficiencies

Learn how to optimize data management and analytics processes through a 25-minute technical presentation that explores the integration of Denodo's Massively Parallel Processing (MPP) with Presto. Discover how this open-source distributed SQL query engine handles large-scale data processing by distributing workloads across multiple nodes, resulting in faster query execution and reduced operational costs. Explore the technical architecture and key benefits, including enhanced performance through accelerated query execution, cost-efficient resource utilization strategies, scalability techniques for growing business demands, and real-world implementation examples. Gain practical insights valuable for data architects, engineers, and business analysts on maximizing data infrastructure investments and leveraging distributed computing capabilities for improved data processing efficiency.