Moving Big Data To The Cloud? Here’s Why You Need A Cloud-Native Data Platform

Moving Big Data To The Cloud? Here’s Why You Need A Cloud-Native Data Platform


One day event on 2018-07-27


, United States


Cloud service models have become the new norm for enterprise deployments in almost every category — and big data is no exception. As the volume, variety, and velocity of data increase exponentially, the cloud offers a more efficient and cost-effective option for managing the unpredictable and bursty workloads associated with big data compared to traditional on-premises data centers.

Organizations looking to scale their big data projects and implement a data-driven business culture can do so with greater ease on the cloud. However, adopting a cloud deployment model requires a cloud-first re-architecture and a platform approach rather than a simple lift and shift of data applications and pipelines.

A cloud-native data platform like Qubole helps organizations save on average 50 percent in total cost of ownership. Intelligent automation of cluster management tasks allows data teams to focus on business outcomes, thereby greatly improving SLAs and the end-user experience.

​Join experts from Qubole as they discuss how to activate your big data and get the most out of open source technologies on the cloud. In this webinar, you'll learn:

- How big data projects benefit from a cloud-native data platform
- How intelligent cluster management can help you save in total cost of ownership
- About companies that successfully transitioned their big data to the cloud
- How to evaluate cloud data platforms for your big data needs

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