The Open Data Lake Talks: Optimizing Costs in A Changing World

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Presented by

Justin Wainwright, Systems Analyst & Rajit Saha, Director, Data Analytics

About this talk

As organizations grapple with the sudden economic turmoil created by the pandemic, there is a critical need to balance cost savings with the need to drive innovation. We’ve assembled a panel of thought leaders in analytics and machine learning to understand how their organizations are optimizing cloud costs associated with Data Analytics and Machine Learning during the COVID-19 pandemic. This one-hour webcast panel and Q&A will explore the greater need for visibility and real-time insights into data workloads in an increasingly virtualized world. Our panelists will dive into how you can optimize TCO for the short- and long-term and introduce cloud cost-saving efficiencies that stay. We want you to walk away from this community discussion with an arsenal of tactics to implement in your organization, including: + Top tips for optimizing big data processing costs in the cloud + Tactics to implement in order to identify and eliminate wasteful spend + Best practices for achieving TCO in an open data lake Moderator Mohit Bhatnagar, SVP Product Management, Qubole Panelists Justin Wainwright, Systems Analyst Rajit Saha, Director, Data Analytics

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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