Databricks & Apache Spark Data Engineering
About Course
Build scalable lakehouse pipelines with Databricks, Apache Spark, Delta Lake, notebooks, orchestration and production optimisation.
Course overview
Develop practical big-data engineering skills with Databricks and Apache Spark. Learners design scalable transformations, reliable lakehouse tables and orchestrated analytics pipelines.
What you will learn
- Use Spark DataFrames and SQL for distributed processing
- Build notebooks and reusable transformation workflows
- Implement Delta Lake tables and lakehouse architecture
- Orchestrate, monitor and troubleshoot data jobs
- Optimise performance, security and production reliability
Who should attend
Data engineers, analysts, database professionals and developers moving into scalable data platforms.
Format and duration
9 weeks of live online classes, guided labs and an end-to-end lakehouse project.
Prerequisites
Basic SQL and Python knowledge is recommended.
Course Curriculum
About the instructor
25 Courses
0 students