Managing Databricks at Scale - T-Mobile's Approach to Handling Terabytes of Daily Data
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Explore how T-Mobile leverages Databricks to handle exponential data growth from their 5G innovation and fixed wireless business expansion in this 37-minute conference talk. Learn about T-Mobile's approach to managing hundreds of terabytes of daily data through scalable architecture implementation with Delta Lake, auto-scaling clusters, and performance optimization techniques including data partitioning and caching. Discover comprehensive data governance strategies using Unity Catalog, cost management practices, and collaborative tools that enable AI-driven productivity. Understand how these methodologies empower T-Mobile to innovate, streamline operations, and maximize data impact across network optimization, community support, energy management, and other critical business areas. Gain insights from Vikas Ranjan, Senior Manager of Network Data & AI at T-Mobile, as he shares real-world strategies for scaling data operations in a rapidly growing telecommunications environment.
Syllabus
Managing Databricks at Scale
Taught by
Databricks