Spark Lakehouse: PySpark, Delta, Iceberg & Streaming
The hands-on Spark lakehouse course for data engineers. Run local PySpark jobs, build a partitioned Parquet ETL, implement ACID upserts with Delta Lake, evolve partitions with Apache Iceberg, and wire a Redpanda-to-Spark Structured Streaming mini-pipeline. Closes with 3 graded labs and a streaming mini-lab.
2 weeks
3 modules, 15 lessons
0
~9 hours
100% Free Structured Micro Course
All video lessons, coding exercises, and quizzes are completely free with zero gatekeeping. Start learning right away!
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Course Curriculum
Spark Foundations & Local PySparkFREE PREVIEW
Spark architecture, local-mode DataFrames, Parquet partitioning, and the bronze ETL lab.
Lakehouse Formats: Delta Lake & IcebergFREE PREVIEW
ACID upserts, time travel, OPTIMIZE, hidden partitioning, and two format labs.
Streaming Mini: Redpanda + SparkFREE PREVIEW
Kafka-compatible streaming, checkpoints, watermarks, and the kill-restart mini-lab.
Ready to Master Spark Lakehouse: PySpark, Delta, Iceberg & Streaming?
All videos, lessons, and practice exercises are 100% free with zero gatekeeping. Start learning immediately, or enroll with the ₹99 Verified Certificate Pass.