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

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