Building a Seamless Multi-Cloud Platform for Secure Portable Workloads скачать в хорошем качестве

Building a Seamless Multi-Cloud Platform for Secure Portable Workloads

There are many challenges to making a data platform actually a platform, something that hides complexity. Data engineers and scientists are looking for a simple and intuitive abstraction to focus on their work, not where it runs to maintain compliance, what credentials it uses to access data or how it generates operational telemetry. At Databricks we’ve developed a data-centric approach to workload development and deployment that enables data workers to stop doing migrations and instead develop with confidence. Attend this session to learn how to run simple, secure and compliant global multi-cloud workloads at scale on Databricks. Talk By: James Burns, Staff Software Engineer, Databricks ; Scott Reynolds, Staff Software Engineer, Databricks Here's more to explore: Databricks named a leader in the 2024 Gartner® Magic Quadrant™for Cloud DBMS: https://www.databricks.com/resources/... An open, unified approach to your data, BI and AI workloads: https://www.databricks.com/product/da... See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat... Connect with us: Website: https://databricks.com Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Facebook:   / databricksinc