Azure Databricks Bootcamp
- Event Type: 🌐 Virtual Event
- Start: Feb 09, 2026 8:00 AM EST
- End: Feb 12, 2026 4:00 PM EST
- Cost: $1,995.00
- Instructor: Zane Goodman
- Event Categories:
- Available Seats: Limited seats remaining!
- Tickets: Get your ticket HERE
- Need help convincing your boss? We can help.
🌐 Virtual Event
Event description
Join our Databricks Bootcamp, a comprehensive training program expertly developed to introduce participants to the essential tools and workflows of Databricks. This bootcamp covers the fundamentals of the Unity Catalog for secure and organized data management, hands-on experience with Notebooks for interactive data exploration, and the use of Pipelines to automate and streamline data processes. Participants will also receive an introduction to PySpark, empowering them to process large datasets efficiently and build scalable analytics solutions. With practical examples and real-world scenarios, this bootcamp provides a solid foundation for anyone looking to excel in data analysis and engineering using Databricks.
Prerequisites
- Curiosity to discover what Databricks is and explore its main features - Willingness to learn how to use and navigate the Databricks platform - Eagerness to understand the fundamentals of Databricks and how to build solutions with it - Interest in learning the basics of PySpark for scalable data processing - Basic knowledge of data concepts is helpful, though not required
System Requirements
- Premium Databricks Workspace: You must have access to a premium workspace to utilize all platform features.
- Creation Privileges: Ensure you can create catalogs, schemas, volumes, and tables within Databricks.
- File Uploading: You need the ability to upload files for data management and analysis.
- Notebook Access: You should be able to use and create notebooks for interactive exploration and development.
- Compute Cluster: You must have the ability to create an adequate compute cluster for processing workloads, or have an administrator create one for you.
Course Outline:
- Module 1: Introduction to Azure Databricks and Setup
- Introduces the Azure Databricks platform and its core features
- Guides you through the setup process
- Shows how to navigate the workspace and configure essential settings
- Module 2: Working with Unity Catalog
- Explains the purpose of Unity Catalog for governance
- Covers catalogs, schemas, and access controls
- Teaches how to organize and secure data within Databricks
- Module 3: Connecting to Data
- Covers External Locations and their uses
- Explores Lakehouse Federation
- Module 4: Access Control
- Explores user permissions and access management
- Shows how to assign roles and configure workspace security
- Module 5: Working with Notebooks
- Provides hands-on experience creating and using notebooks
- Highlights notebook features such as Markdown and creating visuals
- Shares best practices for documentation
- Module 6: Libraries
- Explains how to install and manage libraries in Databricks
- Module 7: Jobs and Pipelines
- Teaches automation of workflows via jobs and pipelines
- Walks through task scheduling and job monitoring
- Covers ETL pipeline creation
- Module 8: Introduction to PySpark
- Introduces PySpark, the Python API for Apache Spark
- Explains distributed data processing concepts
- Describes PySpark's role in Databricks
- Module 9: Working with PySpark DataFrames
- Focuses on PySpark DataFrames as the main analytical data structure
- Describes how to create and work with DataFrames
- Module 10: Reading and Writing Data
- Demonstrates reading from and writing to a catalog
- Showcases essential configuration steps
- Module 11: Querying Data
- Teaches querying data using SQL and PySpark methods
- Guides users through running queries and extracting insights
- Module 12: Filtering Data
- Focuses on filtering data within DataFrames
- Uses expressions and conditions to isolate relevant records
- Prepares datasets for deeper analysis
- Module 13: Grouping and Aggregating Data
- Explores grouping and aggregation techniques
- Uses group-by operations and aggregate functions
- Summarizes datasets to extract insights
- Module 14: Handling Nulls
- Explains strategies for managing missing or null values
- Shows replacement and elimination methods
- Ensures data quality and reliability
Get tickets:
| Ticket type | Price | Quantity |
|---|---|---|
| Azure Databricks Bootcamp (Feb 9, 2026 – 2/12/26) | $1,995.00 | |
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Instructor – Zane Goodman
Zane Goodman is a Trainer for Pragmatic Works specializing in Fabric, Azure and more. He's worked in skilled labor roles as well as the construction industry. Zane spent a lot of time in attics, on boom lifts, and in ditches making sure all the lights turned on properly. Now his primary focus is turning on the light for learning, helping our customers learn the ins and outs of Power Apps.