Key Differences Between On-Prem and Cloud Data Platforms

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Presented by

Purvang Parikh, Qubole

About this talk

Cloud service models have become the new norm for enterprise deployments in almost every category — and big data is no exception. The separation of storage and compute in the cloud afford unparalleled scale, efficiency, and economics compared to on-premise solutions. If you are using Cloudera, Hortonworks or MapR, you should attend this webinar to learn the key differences between on-premise and cloud solutions, considerations for selecting cloud data lakes and data warehouses, and how to build the right architecture for your organizations analytics and machine learning needs. In this webinar, we’ll cover: - Difference between hosting an on-premise data platform in the cloud versus adopting a cloud-native architecture for data processing in the cloud - How a cloud data lake architecture differs from cloud data warehouses - How to move your data to the cloud and leverage big data engines like Apache Spark, Presto, Hive and more - Avoiding security and cost pitfalls that can derail your migration to the cloud - Demo of Qubole’s cloud-native platform

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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