Systems | Development | Analytics | API | Testing

Principal Software Engineer Polita Paulus is no stranger to Snowflake’s interview process. In this video, she offers a behind-the-scenes look at how to approach Snowflake's system design interviews with confidence and clarity. Drawing from her own experience, Polita shares practical strategies, insider tips, and a clear breakdown of what interviewers are really looking for. You’ll gain a better understanding of how to think through complex design challenges, communicate your ideas effectively, and showcase your technical strengths.

As organizations race to capitalize on AI, the foundation of success lies in trusted data and scalable infrastructure. In this video, we explore how Cloudera AI, powered by NVIDIA, delivers an end-to-end platform that enables organizations to build, test, and deploy high-performance AI solutions. From the Cloudera hybrid data lake to production-ready AI, discover how Cloudera is helping enterprises accelerate their data-driven future.

Discover how Gemini in BigQuery simplifies data preparation and helps you transform messy timeseries data, restructure complex datasets, and generate valuable insights without writing code. Overcome the cold start problem and streamline your data analysis workflow. Speaker: Pallavi Sama Products Mentioned: BigQuery, Gemini,

With data alerts in Qlik Cloud , you don’t have to refresh dashboards all day or dig for insights. Set custom alerts that notify you only when something meaningful happens — a dip in performance, a spike in sales, or a key KPI that needs attention.

In this Cortex AI roundtable, Snowflake's Arun Agarwal, Yusuf Ozuysal, and James Cha-Earley highlight why AI model flexibility is crucial for real-world applications. Recognizing that no single large language model excels at everything — coding, reasoning, extraction, or conversation — Snowflake Cortex AI brings the strengths of different LLMs together by integrating leading LLMs like OpenAI, Mistral, Anthropic, and Meta into one secure platform.

In this episode of The AI Forecast, host Paul Muller speaks with Peter Norvig, an education fellow at Stanford and the co-author of Artificial Intelligence: A Modern Approach, the leading textbook for AI education. Peter explores the critical role of accessible, up-to-date AI education in building skilled practitioners, guiding policy, and fostering public understanding. Listen in as they explore concepts like "AI literacy" and unpack why continuous learning is essential to keep pace with technological change—and how it can help us build a more informed, ethical, and responsible AI future.