Qubole, the data activation company, is unveiling a solution that runs on Amazon SageMaker, allowing data scientists to harness the power of machine learning.
The solution uses Qubole Notebooks and Apache Spark to explore, cleanse, and prepare data, while leveraging the power of Amazon Web Services (AWS) to build, train, and deploy ML models at any scale.
“Machine learning is quickly gaining traction with developers, and we are exploring new ways to eliminate the obstacles traditionally associated with building and deploying machine learning models,” said Ken Chestnut, senior manager, Partner Ecosystem, Amazon Web Services, Inc. “We’re delighted to work with Qubole to help developers and data scientists remove the heavy lifting typically associated with the model development process.”
Amazon SageMaker provides a large library of algorithms, while Qubole expedites the data prep and deployment.
Qubole has created numerous innovations that adopt open source technologies including Spark, Hadoop, Presto, and Hive to take full advantage of cloud architectures and optimize the compute resources for processing data.
By utilizing compute resources more efficiently, customers pay only for what they use and avoid overpaying or over-provisioning, which is commonplace today.
For more information about this release, visit www.qubole.com.