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data engineering
Master Databricks for Data Engineers
★ 4.9 · 640 learners · Intermediate
Starts 5 Jul 2026 · ~2–3 months
Spark Streaming — Real-Time Processing in the Lakehouse
Build live stream processing pipelines using Structured Streaming on Databricks Lakehouse.
For: Data engineers moving from batch to real-time stream processing with Spark
4.8 · 290 learners · Advanced ·Starting 16 Aug 2026
Batch Schedule
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 10 weeks | 16 Aug 2026 | Available |
Course Curriculum
4 modules · 90 hours · 36 live sessions
Streaming Fundamentals 8 sessions
- Batch vs streaming
- Spark Streaming model
- Structured Streaming intro
- Environments setup
Stream Processing Patterns 10 sessions
- Triggers
- Watermarks
- Stateful transformations
- Stream-to-stream joins
Delta Lake Streaming 10 sessions
- Delta as streaming sink
- CDF
- Auto Loader
- Incremental processing
Production Streaming 8 sessions
- Kafka integration
- Checkpointing
- Monitoring
- Capstone
Tools You'll Learn
Apache Spark Structured Streaming Databricks Delta Lake Kafka PySpark
Frequently Asked Questions
Do I need PySpark experience?
Yes — PySpark DataFrames knowledge is expected before this course.
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