Data Engineer Course
Build reliable data pipelines, design ETL processes and work with Spark and cloud data services.
Duration:
4 Months
· Level: Beginner
Seats Available
24
ETL
Spark
Data Modeling
Streaming
Apache Spark
Kafka
Airflow
AWS S3
What you'll learn
Build reliable data pipelines, design ETL processes and work with Spark and cloud data services.
Course Curriculum
- Star & snowflake schemas
- Data partitioning strategies
- Schema evolution
- Designing ETL jobs
- Scheduling pipelines with Airflow
- Data validation
- Kafka fundamentals
- Stream processing with Spark/Structured Streaming
- Exactly-once patterns
Modules
- Data modeling
- ETL & batch
- Streaming & real-time
- Cloud data services
Career Opportunities
- Data Engineer
- ETL Developer
- Big Data Engineer
Data Engineer Course
Learn ETL design, data pipelines, streaming, data lakes and Big Data tooling such as Spark and Kaf...
Rating
(3)
Duration
4 Months
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