Databricks Certified Data Engineer Professional
The certification focuses on advanced skills such as data processing, data modeling, and implementing proper data governance in the Databricks ecosystem. Candidates will demonstrate their ability to work with Databricks’ tooling, process data, and monitor and troubleshoot production systems efficiently.
About the Course:
The Databricks Certified Data Engineer Professional certification is designed for advanced data engineers who work with the Databricks Lakehouse Platform and Apache Spark™. This certification assesses the ability to handle complex data engineering tasks, including building scalable data pipelines, working with large data sets, ensuring security and governance, and managing the testing, deployment, and monitoring of data workflows.
What will you learn:
- Advanced data processing using Databricks and Apache Spark.
- Building and managing scalable data pipelines.
- Data modeling and optimization techniques.
- Ensuring security and governance in the data engineering environment.
- Effective monitoring and logging of data workflows.
- Testing, deployment, and debugging data engineering solutions.
Certification Objectives:
- Gain expertise in handling complex data engineering tasks.
- Develop skills in building and managing scalable data pipelines.
- Implement data modeling and optimization strategies.
- Learn to maintain robust data governance and security.
- Monitor and log data pipelines effectively.
- Ensure smooth deployment and testing of data workflows.
Awarding Body:
Curriculum
- 6 Sections
- 0 Lessons
- 30 Hours
- Databricks Tooling0
- Advanced Data Processing0
- Data Modeling0
- Security and Governance0
- Monitoring and Logging0
- Testing and Deployment0
