SESSION

AT&T's Journey Towards a Serverless Data Intelligence Platform

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Warehousing - Analytics and BI
INDUSTRYEnterprise Technology
TECHNOLOGIESAI/Machine Learning, Developer Experience, SQL Analytics / BI / Visualizations
SKILL LEVELIntermediate
DURATION40 min

Data teams today are faced with the need to rapidly onboard an increasing number of AI and data engineering projects while simultaneously accelerating time to value. Join us for an insightful session on AT&T's evolution on the Databricks Platform as they scale beyond their initial use cases to enable several lines of businesses. From automated pipelining with Delta Live Tables to serverless Databricks SQL warehouses and AI/ML use cases, Databricks has empowered the streamlining and acceleration of new data products at AT&T. However, it can be challenging to meet complex security and connectivity requirements when workloads are not deployed on your own network. This session describes how AT&T meets stringent security and regulatory requirements while adopting the Databricks serverless platform, starting with serverless SQL warehouses. We also describe the latest enhancements that Databricks Platform team has built in partnership with AT&T.

SESSION SPEAKERS

IMAGE COMING SOON

Samrat Ray

/Senior Staff Product Manager
Databricks