Sumit is the Director of Product Management at Databricks, responsible for product strategy, roadmap and execution for multi-cloud Administration, Devops and Growth areas of Databrick’s Lakehouse platform.
Prior to Databricks, Sumit has held product leadership positions at Facebook on Facebook Platform, at Skytap, a cloud service to run traditional x86 and Power Apps in Azure and IBM Cloud and at Microsoft, where he helped launch the first version of Microsoft Azure cloud.
May 27, 2021 03:15 PM PT
Multicloud adoption is gaining momentum. Gartner predicts that by 2022, 75% of enterprise customers using cloud infrastructure as a service (IaaS) will adopt a deliberate multicloud strategy. Enterprises adopt multicloud strategies for various reasons, such as preventing vendor lock-in, enabling access to best-of-breed cloud services, regional requirements, and so on. However, there are challenges with this model. Every cloud has its way of doing things, and they don’t play nice together. What if you had a data and analytics platform that extended across the major cloud providers? How would you manage it? In this session, you’ll learn how simple it is to manage the Databricks Lakehouse Platform — one platform for data, analytics, and AI across AWS, Microsoft Azure and Google Cloud.