Anupam Wahi

Ensuring data security & meeting compliance requirements are critical priorities for businesses operating in regulated industries, where the stakes are high and the standards are stringent. We will showcase how CoorsTek, a global leader in technical ceramics MFG, partnered with Databricks to leverage the power of UC for addressing regulatory challenges while achieving significant operational efficiency gains. We'll dive into the migration journey, highlighting the adoption of key features such as RBAC, comprehensive data lineage tracking and robust auditing capabilities. Attendees will gain practical insights into the strategies and tools used to manage sensitive data, ensure compliance with industry standards and optimize cloud data architectures. Additionally, we’ll share real-world lessons learned, best practices for integrating compliance into a modern data ecosystem and actionable takeaways for leveraging Databricks as a catalyst for secure and compliant data innovation.

Imagine delivering critical business insights in half the time, with a data workflow so streamlined it practically manages itself. That was the vision for T-Mobile's credit risk team, grappling with a complex data ecosystem spanning Oracle, Databricks, Azure, Salesforce and SQL Server. Faced with the limitations of their initial Azure Data Factory, Databricks and stored procedure setup, they partnered with Tredence to forge a new path. The result? A modern data engine powered by Azure Data Factory for efficient ingestion, dbt for rapid transformations and GitLab for seamless version control. This strategic shift didn't just unlock 50% faster development and 20% cost savings through optimized Snowflake utilization; it fostered a unified, collaborative environment with automated documentation and crystal-clear data lineage. Peek into their future as they build a semantic layer and model registry and use Snowflake Cortex Analyst to empower self-service anomaly detection.