Leveraging Qubole Cost Explorer for TCO Optimization

Presented by

Dhiraj Seghal, Director Product Marketing at Qubole, and Sandeep Dabade, Sr. Solution Architect at Qubole

About this talk

As enterprises are today becoming more data-driven, they need to develop their financial governance muscle for data lakes. More compute usage to get insights and analysis leads to cost overruns and unpredictability for the future. This live demo introduces you Qubole Cost Explorer which gives Qubole users the ability to monitor, manage, and optimize big data costs by providing granular visibility of workloads at the job, cluster, and cluster instance levels. With Cost Explorer, you can track spending, monitor showback, justify business plans, plan and budget, and build ROI analyses. In this webinar you will learn the following: + How Qubole users get autonomous and policy-based cost optimization without sacrificing service level agreements (SLAs) + The level of monitoring capabilities that provide granular costs at the workload, application, user, and account level in addition to the cluster, cluster-instance costs
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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