Big Data & Distributed Computing Production-grade big data processing with Apache Spark, distributed systems patterns, and petabyte-scale data engineering. Quick Start Core Concepts 1. Spark Architecture Deep Dive 2. Partition Optimization 3. Join Optimization Strategies 4. Caching & Persistence 5. Structured Streaming Tools & Technologies | Tool | Purpose | Version (2025) | |------|---------|----------------| | Apache Spark | Distributed processing | 3.5+ | | Delta Lake | ACID transactions | 3.0+ | | Apache Iceberg | Table format | 1.4+ | | Apache Flink | Stream processing | 1.18+ | | Databr…