Tired of slow, loop-based data processing that takes forever? Whether you're dealing with paginated API calls, massive datasets, or inefficient sequential workflows, it's time to harness the full power of Apache Spark in Microsoft Fabric.

This session is your fast-track introduction to Spark, covering its distributed nature and how it can massively speed up your Python workloads. We'll break down the fundamentals of Spark’s execution model and explore how to parallelize tasks intelligently instead of waiting on slow loops. You'll learn how to:

✅ Understand how Spark distributes work across clusters
✅ Convert synchronous Python loops into async distributed processing
✅ Efficiently handle large-scale data pipelines and API calls
✅ Optimize Spark’s performance for maximum speed and efficiency

Through real-world examples and hands-on insights, you'll leave this session equipped to transform your slow scripts into lightning-fast distributed workflows.