Course Description
This 2-day introductory Databricks training class that serves as an entry point to learn Data Engineering with Databricks. This course seeks to prepare students to complete the Associate Data Engineering certification exam, and provides the requisite knowledge to take our Advanced Data Engineering with Databricks.
This training covers the following topics:
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.
Course Summary
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Course Modules
Day 1 (9am-1pm)
Data Ingestion with Delta Lake
Delta Lake and Data Objects
Set Up and Load Delta Tables
Basic Transformations
Load Data Lab
Cleaning Data
Complex Transformations
SQL UDFs
Advanced Delta Lake Features
Manipulate Delta Tables Lab
Testimonials
“Instructor was very passionate about Databricks and helped me to stay engaged. Great pace, great knowledge, and the trainer was fantastic overall :) ”
- Emma Darling, Platform Engineer, Barclays Bank
“The Databricks Training was excellent”
- Spencer Martin, VP, Information Systems, RoyOMartin
The training with Thomas went very well, and I felt the course overall was well balanced. Thomas was able to help with my many specific questions related to our internal project requirements, and he was helpful, clear, and concise throughout – 5 star /excellent!
- Marco, Lead Data Platform Engineer, C. Hoare & Co.
