Data Science & Analytics
Databricks Certified Data Engineer Associate
This course is designed to help data professionals develop the skills required to build, manage, and optimize modern data engineering solutions using the Databricks Lakehouse Platform.
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Included with Skilldacity Membership
About This Course
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This course is designed to help data professionals develop the skills required to build, manage, and optimize modern data engineering solutions using the Databricks Lakehouse Platform. This course aligns with the objectives of the Databricks Certified Data Engineer Associate certification and provides practical experience with data pipelines, data transformation, data quality, and scalable analytics workflows. The course explores Delta Lake, Apache Spark, data ingestion, ETL processes, workflow orchestration, data governance, and performance optimization techniques used in enterprise data environments.
What You’ll Learn
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- Understand the Databricks Lakehouse Platform architecture
- Learn the core skills required for the Databricks Certified Data Engineer Associate certification
- Build and manage scalable data engineering pipelines
- Ingest, transform, and process large datasets using Databricks
- Work with Apache Spark and distributed data processing concepts
- Implement Delta Lake for reliable and efficient data management
- Design ETL and ELT workflows for enterprise data environments
- Apply data quality, governance, and validation techniques
- Optimize data processing performance and resource utilization
- Manage workflows and data engineering operations
- Support analytics, reporting, and AI initiatives with modern data platforms
- Prepare for the Databricks Certified Data Engineer Associate exam
Skills You’ll Gain
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Career Path
Data Science & Analytics
Provider
Skilldacity
Level
Intermediate
Certification
Certification Reference
Access
Included with eligible Skilldacity subscription
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