You can reduce costs by using the policy-based automation in Qubole Data Platform to balance performance.
Watch Qubole co-founder Ashish Thusoo discuss the analytics and machine learning use cases that are driving the demand for open data lakes.
We examine how Data Lakes support modern use cases covering machine learning, predictions and real-time analysis.
Learn how data-driven organizations are enhancing TCO, performance and optimization of their cloud data lakes with Qubole
Enjoy over 30 hours of live and on-demand content covering everything from data lake TCO to engineering best practices.
Join our 90-minute virtual workshops to learn how to Build a Modern Data Lake on Google Cloud
Join our 90-minute virtual workshops to learn how to Build a Modern Data Lake on AWS
Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs
Qubole is a simple, open, and secure Data Lake Platform for machine learning, streaming, and ad-hoc analytics. Our platform provides end-to-end services that reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud. No other platform offers the openness and data workload flexibility of Qubole while lowering cloud data lake costs by over 50 percent.