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On-Demand Qubole Demo
See what our Open Data Lake Platform can do for you in 35 minutes.
Conducting ad-hoc analytics, streaming analytics and machine learning workloads in the cloud offers unique cost, performance, speed, time to value, and accessibility advantages. However, data in the cloud also means greater unpredictability of both workload sizes and the associated costs. Before you know it, your costs can spiral out of control — and you may not notice until the problem gets out of hand. Join Balaji Mohanam, Director Product Management, and Dhiraj Sehgal, Director Product Marketing, to hear about 4 ways an open data lake architecture provides the capabilities and sustainable economics needed to adequately control your data processing costs.
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
Select your cloud provider:
See what our Open Data Lake Platform can do for you in 35 minutes.