As enterprises continue to expand their data and AI initiatives, data engineering teams are facing increasing pressure to deliver faster, manage growing data volumes, and support real-time analytics across the organization. Traditional data engineering workflows often involve repetitive coding tasks, manual pipeline development, and complex troubleshooting processes that can slow innovation and reduce operational efficiency.… Continue reading How Teams Are Using Snowflake Cortex Code as an AI-Driven Data Engineer