Managing Databricks at Scale
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Media and Entertainment |
Technologies | Apache Spark, Apache Iceberg, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
T-Mobile’s leadership in 5G innovation and its rapid growth in the fixed wireless business have led to an exponential increase in data, reaching 100s of terabytes daily. This session explores how T-Mobile uses Databricks to manage this data efficiently, focusing on scalable architecture with Delta Lake, auto-scaling clusters, performance optimization through data partitioning and caching and comprehensive data governance with Unity Catalog. Additionally, it covers cost management, collaborative tools and AI-driven productivity tools, highlighting how these strategies empower T-Mobile to innovate, streamline operations and maximize data impact across network optimization, supporting the community, energy management and more.
Session Speakers
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Vikas Ranjan
/Senior Manager, Network Data & AI
T-Mobile