AT&T's Journey Towards a Serverless Data Intelligence Platform
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Warehousing - Analytics and BI |
INDUSTRY | Enterprise Technology |
TECHNOLOGIES | AI/Machine Learning, Developer Experience, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 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
Samrat Ray
/Senior Staff Product Manager
Databricks
Jegadeesan Pugazhenthi
/Associate Director - Cloud Technology
AT&T