PYSPARK ACADEMY • MODULE 25PySpark Production Challenges
Solve end-to-end enterprise Data Engineering challenges combining raw ingestion, schema enforcement, deduplication, window metrics, and partitioned lakehouse exports.
Production📚 8 Lessons⭐ 0 / 14250 XP⏳ In Progress
0 / 8 Lessons Completed (0%) LESSON 193🔓 Raw Data Ingestion, Validation & Cleansing
⏱ 3 Mins • ⭐ 1600 XP • Production
LESSON 194🔒 High-Volume Natural Key Deduplication
⏱ 3 Mins • ⭐ 1650 XP • Production
LESSON 195🔒 Fact Table Enrichment with Broadcast Lookups
⏱ 3 Mins • ⭐ 1700 XP • Production
LESSON 196🔒 Multi-Level Regional KPI Aggregation
⏱ 3 Mins • ⭐ 1750 XP • Production
LESSON 197🔒 Customer 360 Analytics & Rolling Window Metrics
⏱ 3 Mins • ⭐ 1800 XP • Production
LESSON 198🔒 Optimized Partitioning, Coalesce & Parquet Export
⏱ 3 Mins • ⭐ 1850 XP • Production
LESSON 199🔒 Scalable Bronze-to-Gold Warehouse Transformation
⏱ 3 Mins • ⭐ 1900 XP • Production
LESSON 200🔒 Enterprise Data Engineering Capstone Pipeline
⏱ 4 Mins • ⭐ 2000 XP • Production