Session

Building a Seamless Multi-Cloud Platform for Secure Portable Workloads

Overview

ExperienceIn Person
TypeBreakout
TrackData Lakehouse Architecture and Implementation
IndustryEnterprise Technology, Health and Life Sciences, Public Sector
TechnologiesDelta Lake, Delta Sharing, Unity Catalog
Skill LevelIntermediate
Duration40 min

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.

Session Speakers

James Burns

/Staff Software Engineer
Databricks