Data Engineering with Databricks

This is an introductory course that serves as an appropriate entry point to learn Data Engineering with Databricks. Below, we describe each of the four, four-hour modules included in this course.

Data Ingestion with Delta Lake
This course is designed for Data Engineers to deepen their understanding of Delta Lake to handle data ingestion, transformation, and management with ease. Using the latest features of Delta Lake, learners will explore real-world applications to enhance data workflows, optimize performance, and ensure data reliability.

Deploy Workloads with Databricks Workflows

This course is designed for data engineer professionals who are looking to leverage Databricks for streamlined and efficient data workflows. By the end of this course, you’ll be well-versed in using Databricks' Jobs and Workflows functionalities to automate, manage, and monitor complex data pipelines. The course includes hands-on labs and best practices to ensure a deep understanding and practical ability to manage workflows in production environments.

Build Data Pipelines with Delta Live Tables

This comprehensive course is designed to understand the Medallion Architecture using Delta Live Tables. Participants will learn how to create robust and efficient data pipelines for structured and unstructured data, understand the nuances of managing data quality, and unlock the potential of Delta Live Tables. By the end of this course, participants will have hands-on experience building pipelines, troubleshooting issues, and monitoring their data flows within the Delta Live Tables environment.

Data Management and Governance with Unity Catalog

In this course, you'll learn about data management and governance using Databricks Unity Catalog. It covers foundational concepts of data governance, complexities in managing data lakes, Unity Catalog's architecture, security, administration, and advanced topics like fine-grained access control, data segregation, and privilege management.