Databricks Certified Data Engineer Associate
This certification assesses knowledge in key areas such as Databricks platform architecture, multi-hop ETL tasks, data processing, and data governance. The course prepares you for basic data engineering tasks using Databricks tools, techniques, and is ideal for those looking to enhance their data engineering skills for real-world applications.
About the Course:
The Databricks Certified Data Engineer Associate certification is designed for professionals who want to demonstrate their ability to perform data engineering tasks using the Databricks Lakehouse Platform. The certification focuses on building and managing ETL pipelines, processing data incrementally, and maintaining data governance. It tests proficiency in Apache Spark™ SQL and Python, and the ability to apply data engineering concepts in production
What will you learn:
- Understanding the Databricks Lakehouse Platform and its features.
- Using Spark SQL and Python for ELT tasks.
- Incremental data processing in Databricks.
- Building and managing production-ready data pipelines.
- Implementing data governance and security practices.
- Using Databricks SQL for querying and reporting.
Certification Objectives:
- Understand the core features of the Databricks Lakehouse Platform.
- Develop expertise in Spark SQL and Python for data engineering tasks.
- Build and deploy data engineering pipelines.
- Implement effective data governance and security measures.
- Utilize Databricks SQL for efficient data analysis and reporting.
Awarding Body:
Curriculum
- 5 Sections
- 0 Lessons
- 30 Hours
- Databricks Lakehouse Platform Overview0
- ELT with Spark SQL and Python0
- Incremental Data Processing0
- Building and Deploying Production Pipelines0
- Data Governance0
