This whitepaper explains the overall architecture, the key differences compared to the previous generations of cloud data warehouses, and provides some numbers to show how much of an improvement in speed, scale, cost, and price-performance is possible.
In this whitepaper, learn how Firebolt's advanced, flexible cloud infrastructure addresses the challenges of modern data-driven businesses. Explore capabilities like workload isolation, multidimensional and granular scaling, instant elasticity, and zero-downtime upgrades, all built on a distributed and decoupled architecture to ensure scalability, efficiency, and low latency for large-scale analytical workloads.
Cloud data warehouses have significantly reduced or eliminated the need to pre-provision infrastructure to address analytical needs. This guide provides a roadmap to navigating cloud data warehouse concepts, architectures, and available deployment options.
Sub-second analytics leverages cutting-edge technologies, optimized data processing techniques, and high-performance infrastructure to enable organizations to respond quickly to changing business conditions, customer demands, and market trends.
In The Data Engineering Show, Ryanne Dolan from LinkedIn joins the Bros to discuss LinkedIn's Hoptimator project.
Andy Pavlo, Associate Professor at Carnegie Mellon University, delves into database internals and optimization.