“Our design philosophy is centered around our customers. They need solutions that are not just technically advanced but also seamlessly integrated, easily scalable, and reliable.”
Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.
Google today announced GA on the Google Cloud Platform of three products built on custom silicon built for inference and agentic workloads: – Ironwood, Google’s seventh generation Tensor Processing Unit, will be generally available in the coming weeks. The company said it is built for large-scale model training and complex reinforcement learning, as well as […]
