AMIT RUSTAGI

A Case Study: Development of an AI-Driven Offensive Security Agentic System Using PyTorch - Farshid Mahdavi, Prancer AI-Powered Data Migration: Reinventing Legacy Modernization With PyTorch - Amit R, DeeplearningAPI Automatic Speech Recognition Using OpenAI Whisper Without a GPU - Benjamin...

This session explores the strategic migration from Snowflake to Databricks, focusing on the journey of transforming a data lake to leverage Databricks’ advanced capabilities. It outlines the assessment of key architectural differences, performance benchmarks, and cost implications driving the decision. Attendees will gain insights into planning and execution, including data ingestion pipelines, schema conversion and metadata migration. Challenges such as maintaining data quality, optimizing compute resources and minimizing downtime are discussed, alongside solutions implemented to ensure a seamless transition. The session highlights the benefits of unified analytics and enhanced scalability achieved through Databricks, delivering actionable takeaways for similar migrations.