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Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
By taking this course, you will acquire the skills and knowledge necessary to become a Certified Data Engineer Associate from Databricks. You will learn how to use the Databricks Lakehouse Platform and its tools, build ETL pipelines using Apache Spark SQL and Python, process data incrementally in batch and streaming mode, orchestrate production pipelines, and understand and follow best security practices in Databricks. Additionally, you will gain an understanding of relational entities, ELT, Python, Structured Streaming, Auto Loader, Multi-hop Architecture, Delta Live Tables, Jobs, Dashboards, Unity Catalog, and Entity Permissions. With the knowledge you gain during this course, you will be ready to take the certification exam.


Contribution to Professional Growth:
This course provides a comprehensive preparation for the Databricks Certified Data Engineer Associate certification exam. It covers the fundamentals of the Databricks Lakehouse Platform and its tools, such as Data Lakehouse, Data Science and Engineering workspace, and Delta Lake. It also covers the building of ETL pipelines using Apache Spark SQL and Python, as well as the incremental processing of data. Additionally, it provides guidance on building production pipelines for data engineering applications and Databricks SQL queries and dashboards. Finally, it covers best security practices, such as Unity Catalog and Entity Permissions. By the end of this course, participants should have the knowledge and skills necessary to pass the certification exam. This course thus contributes to professional growth by providing the necessary skills and knowledge to become a Certified Data Engineer Associate from Databricks.


Suitability for Further Education:
This course is suitable for preparing for further education in the field of data engineering. It covers topics such as using the Databricks Lakehouse Platform and its tools, building ETL pipelines using Apache Spark SQL and Python, processing data incrementally in batch and streaming mode, orchestrating production pipelines, and understanding and following best security practices in Databricks. By the end of the course, learners should have a comprehensive understanding of the topics covered and be ready to take the certification exam.