| Abstract: | Databricks provides a unified platform for data engineering, data science, and machine learning. It integrates with popular big data technologies, allowing users to perform data processing, analytics, and machine learning tasks in a single environment. With the increased adoption of the Databricks platform over the last few years, obtaining the Databricks Data Engineer Professional certification can enhance data engineering skills, boost career prospects, and demonstrate a commitment to continuous learning and professional development in the field of data engineering. This on-demand course helps you prepare for the Databricks Certified Data Engineer Professional exam. Through a mix of concise presentations, demonstrations, and interactive assessment, the course thoroughly reviews the six domains of the exam: Databricks tooling, data processing, data modeling, security and governance, monitoring and logging, and testing and deploying. Topics within these domains that will be covered include Delta Lake architecture and optimization, cluster management, optimization techniques, Medallion Architecture, handling batch and streaming data, the Unity Catalog, implementing row-level security and data masking, managing object privileges, leveraging CI/CD for version control, and using REST APIs, widgets, and task orchestration to ensure robust and scalable workflows. By the end of the course, you will have the knowledge and skills necessary to pass this exam and become a certified Databricks Data Engineer Professional. |
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