Best of 2019 - Why You Need a Cloud Platform to Succeed with Big Data

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Presented by

Matheen Raza and Sandeep Dabade from Qubole

About this talk

As the volume, variety, and velocity of data increases, the cloud is the most efficient and cost-effective option for machine learning and advanced analytics. Organizations looking to scale their big data projects can do so with greater ease with a cloud-native data platform. Qubole provides a single platform for data engineers, analysts, and scientists that supports multiple use cases -- from machine learning to predictive analytics. The platform saves organizations up to 50 percent in data processing costs by leveraging multiple engines like Apache Spark, Presto, and Hive, and automatically provisions, manages, and optimizes cloud resources. ​Join experts from Qubole as they demonstrate how to get the most out of your data on the cloud. In this webinar, you'll learn: - The benefits of a single platform and centralized access to data - How to pick the right data processing engines and tools - To save money with intelligent cluster management and financial governance - Key considerations to evaluate cloud data platforms

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Tune in to hear from open data lake platform leaders and engineers discuss everything from continuous date engineering on data lakes for machine learning, streaming analytics, ad-hoc analytics and data exploration in the cloud. The interactive talks are designed for both data engineers, data analysts and data scientists that want to learn about some of the challenges and solutions for use cases seen in data-driven organizations. Learn more about Qubole: http://bit.ly/AboutQubole